{"schemaVersion":2,"suite":"cheap-model-tests","evidenceEndpoint":{"readOnly":true,"machineReadable":true},"runAt":"2026-06-16T20:31:30.728Z","repositorySource":"frontend/src/lib/seoTests.ts","tests":[{"slug":"code-snippet-fibonacci","title":"Writing a Code Snippet","shortTitle":"Code Snippet","category":"Code Generation","icon":"{ }","summary":"A focused coding task: produce a correct, efficient, 0-indexed iterative Fibonacci function in Python — and nothing but the code.","criteria":["Algorithm is correct (fib(0)=0, fib(1)=1, fib(n)=fib(n-1)+fib(n-2)).","Uses an efficient O(n) iterative approach (no naive recursion).","Handles the n=0 edge case correctly.","Returns only the code, with no surrounding explanation or stray reasoning."],"metaTitle":"Best Cheap AI for Writing Code Snippets (Under $3/M Tokens) — Tested","metaDescription":"We sent the same Python coding task to every budget LLM under $3 per million tokens and measured real speed, cost, and accuracy. See which cheap model writes the cleanest code.","keywords":["cheap AI for coding","best budget LLM for code","AI code generation benchmark","GPT-5.4 Nano vs Llama coding","cheapest coding AI 2026","LLM code snippet comparison"],"prompt":"Write a Python function called `fib(n)` that returns the n-th Fibonacci number (0-indexed, so fib(0)=0 and fib(1)=1). Use an efficient iterative approach and handle n=0 correctly. Return only the code inside a single code block, with no explanation.","results":[{"modelId":"gpt-5.4-nano","modelName":"GPT-5.4 Nano","provider":"OpenAI","outputPricePerM":1.25,"output":"```python\ndef fib(n):\n    if n < 0:\n        raise ValueError(\"n must be non-negative\")\n    if n == 0:\n        return 0\n    a, b = 0, 1\n    for _ in range(1, n):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":1742,"tokensIn":66,"tokensOut":77,"tokensPerSecond":44.2,"costUsd":0.00010944999999999999,"accuracy":100,"accuracyNote":"Correct iterative algorithm; fib(0)=0 and fib(1)=1 verified. Clean, code-only, and adds a sensible negative-input guard.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"a57327357e981f19bce34cfb0c23297cc50ded8b330f716c24f57ccfa80bd655","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"gemini-3.1-flash-lite","modelName":"Gemini 3.1 Flash Lite","provider":"Google","outputPricePerM":1.5,"output":"```python\ndef fib(n):\n    if n <= 0:\n        return 0\n    elif n == 1:\n        return 1\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":995,"tokensIn":63,"tokensOut":76,"tokensPerSecond":76.4,"costUsd":0.00012975,"accuracy":97,"accuracyNote":"Correct and code-only. Returns 0 for negative n silently rather than raising, otherwise spot-on.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"412402373211028756fd80bb8d4dcb36eccff6f30f720459c6d8b76ce0baf11d","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"grok-4.3","modelName":"Grok 4.3","provider":"xAI","outputPricePerM":2.5,"output":"<think>\nThe task is: Write a Python function called `fib(n)` that returns the n-th Fibonacci number (0-indexed, so fib(0)=0 and fib(1)=1). Use an efficient iterative approach and handle n=0 correctly. Return ...\n</think>\n```python\ndef fib(n):\n    a, b = 0, 1\n    for _ in range(n):\n        a, b = b, a + b\n    return a\n```","status":"completed","finishReason":"","latencyMs":3305,"tokensIn":63,"tokensOut":95,"tokensPerSecond":28.7,"costUsd":0.00031625,"accuracy":80,"accuracyNote":"The canonical solution is correct, but a (truncated) <think> reasoning block leaked into the output despite the \"only the code\" instruction.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"cb0caeb9645e1bae32af74ffcd103c8181c0a774deae8d40a2b64051c67ea769","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"llama-4-scout","modelName":"Llama 4 Scout","provider":"Groq","outputPricePerM":0.34,"output":"```python\ndef fib(n):\n    if n <= 0:\n        return 0\n    elif n == 1:\n        return 1\n    else:\n        a, b = 0, 1\n        for _ in range(2, n + 1):\n            a, b = b, a + b\n        return b\n```","status":"completed","finishReason":"","latencyMs":344,"tokensIn":70,"tokensOut":75,"tokensPerSecond":218,"costUsd":0.0000332,"accuracy":98,"accuracyNote":"Correct with explicit base cases, code-only. No issues.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"4f153c75da4a20c233cecae0c093c4443c29afbcddbfea4cfbff72aa26a10986","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"gpt-oss-120b","modelName":"GPT-OSS 120B","provider":"Groq","outputPricePerM":0.6,"output":"<think>\nThe user wants a Python function fib(n) that returns n-th Fibonacci number using an efficient iterative approach, handling n=0 correctly. Provide only code inside a single code block, no explanation.\n\nWe must comply. Provide code.\n</think>\n```python\ndef fib(n):\n    if n < 0:\n        raise ValueError(\"n must be a non-negative integer\")\n    a, b = 0, 1\n    for _ in range(n):\n        a, b = b, a + b\n    return a\n```","status":"completed","finishReason":"","latencyMs":394,"tokensIn":131,"tokensOut":117,"tokensPerSecond":297,"costUsd":0.00008985,"accuracy":82,"accuracyNote":"Correct canonical solution with a negative guard, but a <think> block leaked in ahead of the code block.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"9bfe8306c29b98bdce17c9ed9ba9c4cf1049a28bab74a0b5100ff111d73bd7f3","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"gpt-oss-20b","modelName":"GPT-OSS 20B","provider":"Groq","outputPricePerM":0.3,"output":"<think>\nUser wants a Python function fib(n) that returns nth Fibonacci number 0-indexed. Use efficient iterative approach, handle n=0 correctly. Return only code inside a single code block, no explanation.\n\nWe need to output just the code inside a code block. So something like:\n\n```\ndef fib(n):\n    a, b = 0, 1\n    for _ in range(n):\n        a, b = b, a + b\n    return a\n```\n\nEdge cases: fib(0)=0; works: loop 0 times, a=0. fib(1)=1: loop once, a,b -> a=1,b=1, return a=1. Works. Also negative? Not required.\n\nSo output code.\n</think>\n```python\ndef fib(n):\n    a, b = 0, 1\n    for _ in range(n):\n        a, b = b, a + b\n    return a\n```","status":"completed","finishReason":"","latencyMs":576,"tokensIn":131,"tokensOut":205,"tokensPerSecond":355.9,"costUsd":0.00007132499999999999,"accuracy":80,"accuracyNote":"Final code is correct, but the model exposed its <think> reasoning before the code block.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"0677c7b2d9fb1de2c1a8337499c71c8635ae1c8b03730c41a502f4e6d50f3b9c","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"llama-3.3-70b","modelName":"Llama 3.3 70B","provider":"Groq","outputPricePerM":0.79,"output":"```python\ndef fib(n):\n    if n <= 1:\n        return n\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":298,"tokensIn":95,"tokensOut":59,"tokensPerSecond":198,"costUsd":0.00010266,"accuracy":99,"accuracyNote":"Correct and elegant (returns n for n<=1). Clean and code-only.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"d25a76102a8f210d19b5e4a03fd019813491443e11f3afebd03780c35e682936","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"llama-3.1-8b","modelName":"Llama 3.1 8B","provider":"Groq","outputPricePerM":0.08,"output":"```python\ndef fib(n):\n    if n <= 1:\n        return n\n    a, b = 0, 1\n    for i in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":144,"tokensIn":95,"tokensOut":59,"tokensPerSecond":409.7,"costUsd":0.00000947,"accuracy":99,"accuracyNote":"Correct, clean, code-only — and the fastest response in this test.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"116ae97fa49c8db2ecc0a76bf31769aef837266ce264e4bc80ff2a30b6543f3e","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"qwen3-32b","modelName":"Qwen 3 32B","provider":"Groq","outputPricePerM":0.59,"output":"<think>\nOkay, I need to write a Python function called fib(n) that returns the n-th Fibonacci number. Let me think about how to approach this.\n\nFirst, the problem says it's 0-indexed. So fib(0) is 0, fib(1) is 1. For example, fib(2) should be 1, fib(3) is 2, and so on. Got it.\n\nThe user wants an efficient iterative approach. So recursion isn't the way to go here because for larger n, recursion would be inefficient and cause stack overflows. Iterative method is better for both time and space complexity.\n\nLet me plan the steps. For n=0, return 0. For n=1, return 1. For higher numbers, calculate iteratively.\n\nMaybe start with two variables, a and b, representing fib(0) and fib(1). Then for each step from 2 up to n, compute the next Fibonacci number by adding the previous two. Let me think:\n\nInitialize a = 0 (fib(0)), b = 1 (fib(1)). Then for i in range(2, n+1), compute c = a + b. Then update a and b: a becomes the old b, and b becomes c. Wait, but how does this work for each step?\n\nWait, let's take an example. Let's say n is 2. For i=2, we compute 0+1=1. So the result is 1. Which is correct. For n=3, the loop runs once (i=2 and i=3?), depends on the loop setup. Wait, maybe I need to loop from 2 to n, inclusive?\n\nAlternatively, maybe the loop should run n-1 times. Let me think: if n is 0, return 0. If n is 1, return 1. Else, for n >= 2, we can iterate (n-1) times. Wait, let's think of it as starting with a=0, b=1. For each step, we calculate the next number. So for n=2, we need one step: a + b = 0 + 1 = 1. For n=3, two steps: first step gives 1 (for n=2), second step gives 1 + 1 = 2 (for n=3). So if n is 4, three steps: 0, 1 -> 1, 1 -> 1, 2 -> 2, 3. The result is 3. Which is correct.\n\nSo for the general case where n >= 1, we need to perform (n-1) iterations. Because for each iteration, we're moving from the i-th to (i+1)-th Fibonacci number.\n\nLet me structure this:\n\nif n is 0: return 0\n\nelse:\n\n   a, b = 0, 1\n\n   for i in range(2, n+1):\n\n       c = a + b\n\n       a = b\n\n       b = c\n\n   return b\n\nWait, let's check for n=1. If n is 1, the loop would be range(2, 2), which doesn't execute. So returns b which is 1. Correct.\n\nn=2: loop runs once (i=2). c=0+1=1. a becomes 1, b becomes 1. Return b=1. Correct.\n\nn=3: loop runs for i=2 and 3? Wait, range(2, n+1) when n=3 is range(2,4), which is 2 and 3. Wait, but for n=3, how many steps? Let me see. Starting with a=0, b=1. Then for i in 2 to n (inclusive), which for n=3 is two iterations?\n\nWait wait, for n=3:\n\nInitially a=0, b=1 (for 0 and 1). Then for i=2, which would compute fib(2) as a + b = 1. Then a becomes 1 (previous b) and b becomes 1 (new value). Then i=3, compute a + b = 1 + 1 = 2. a becomes 1, b becomes 2. So return b is 2. Which is correct for fib(3) = 2. So the loop for n=3 runs for two steps (i=2 and i=3). So the number of iterations is (n - 1) steps. Because for n >= 1, the loop runs from 2 to n inclusive. So for n=1, no steps. For n=2, one step. For n=3, two steps. Which seems right.\n\nSo the code structure would be:\n\ndef fib(n):\n\n    if n == 0:\n\n        return 0\n\n    a, b = 0, 1\n\n    for i in range(2, n + 1):\n\n        c = a + b\n\n        a = b\n\n        b = c\n\n    return b\n\nTesting this for various values. Let's see:\n\nfib(0) → 0. Correct.\n\nfib(1) → 1. Correct.\n\nfib(2): loop runs once. a=0, b=1 → c=1 → a becomes 1, b becomes 1 → return 1.\n\nfib(3): loop runs twice. First iteration (i=2): same as before. a=1, b=1. Second iteration (i=3): c=1+1=2. a becomes 1, b becomes 2. Return 2. Correct.\n\nfib(4): returns 3. Let's check. After first iteration (i=2): a=1, b=1. i=3: a=1, b=2. i=4: c=1+2=3. a=2, b=3. return 3. Correct.\n\nThis seems to work.\n\nWhat about n=5? Let's compute. The sequence is 0,1,1,2,3,5. For n=5, should return 5. Let's simulate.\n\nLoop runs from 2 to 5: i=2,3,4,5 (4 iterations).\n\nStart with a=0, b=1.\n\ni=2:\n\nc=0+1=1 → a=1, b=1.\n\ni=3:\n\nc=1+1=2 → a=1, b=2.\n\ni=4:\n\nc=1+2=3 → a=2, b=3.\n\ni=5:\n\nc=2+3=5 → a=3, b=5. return 5. Correct.\n\nLooks good.\n\nNow, what if n is 0? The code handles that. So the code seems correct.\n\nAnother test case: n=0 returns 0. What if someone passes a negative number? The problem says to handle n=0 correctly, but perhaps the function should assume n is non-negative. Since the problem says nothing about invalid inputs, perhaps no need to handle them. So assuming that n is a non-negative integer.\n\nSo the code is correct. The code handles all cases.\n\nThe code is efficient: O(n) time, O(1) space. Which is the best possible for this problem without using closed-form formulas (which would be O(1) time but might have precision issues for large n).\n\nTherefore, the Python function as written should work.\n</think>\n\n```python\ndef fib(n):\n    if n == 0:\n        return 0\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":4658,"tokensIn":68,"tokensOut":1645,"tokensPerSecond":353.2,"costUsd":0.0009902700000000001,"accuracy":68,"accuracyNote":"The final code is correct, but the model dumped a ~1,650-token <think> monologue into the output — a major breach of the code-only instruction and the priciest run here.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"dde27b8a27cec3bbf94b0170dccb6a9b6a685bf200e497a6cbbc5099627535cb","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"deepseek-v4-flash","modelName":"DeepSeek V4 Flash","provider":"DeepSeek","outputPricePerM":0.28,"output":"<think>\nWe need to write a Python function fib(n) that returns the n-th Fibonacci number, 0-indexed. Efficient iterative approach, handle n=0 correctly. Return only code in a single code block, no explanation.\n\nWe'll write a simple iterative solution: start a=0, b=1, loop n times, update a,b. For n=0, return a (0). For n=1, after 1 iteration a becomes 1, b becomes 1? Actually careful: typical iterative:\n\ndef fib(n):\n    a, b = 0, 1\n    for _ in range(n):\n        a, b = b, a + b\n    return a\n\nTest: n=0: loop runs 0 times, return a=0. n=1: loop runs 1: a=1, b=1; return a=1. Good. That's efficient O(n), O(1) space. Also handle negative? Not required.\n\nWe'll output the code in a code block.\n</think>\n```python\ndef fib(n):\n    a, b = 0, 1\n    for _ in range(n):\n        a, b = b, a + b\n    return a\n```","status":"completed","finishReason":"","latencyMs":2860,"tokensIn":64,"tokensOut":254,"tokensPerSecond":88.8,"costUsd":0.00008007999999999999,"accuracy":80,"accuracyNote":"Correct canonical solution, but leaked a <think> reasoning block before the code.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"115b101e08808e34b5e082f1075d331d63d5f542516c47b4f7f472b7d06c37d9","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"deepseek-v4-pro","modelName":"DeepSeek V4 Pro","provider":"DeepSeek","outputPricePerM":0.87,"output":"<think>\nWe need to provide a Python function `fib(n)` that returns the n-th Fibonacci number (0-indexed, fib(0)=0, fib(1)=1). Use iterative approach, efficient, handle n=0. Only code in a single code block, no explanation.\n\nSo output:\n\n```python\ndef fib(n):\n    if n == 0:\n        return 0\n    elif n == 1:\n        return 1\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```\n\nThat's it.\n</think>\n```python\ndef fib(n):\n    if n == 0:\n        return 0\n    if n == 1:\n        return 1\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":2336,"tokensIn":64,"tokensOut":207,"tokensPerSecond":88.6,"costUsd":0.00020793,"accuracy":82,"accuracyNote":"Correct with explicit base cases, but preceded by a leaked <think> block.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"c0e8b6d5774ef5d5da18b4b9c9de94b1f71289f1d9ca1cd66ecabfaae344605c","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"mistral-medium","modelName":"Mistral Medium 3","provider":"Mistral","outputPricePerM":2,"output":"```python\ndef fib(n):\n    if n == 0:\n        return 0\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":1629,"tokensIn":76,"tokensOut":60,"tokensPerSecond":36.8,"costUsd":0.0001504,"accuracy":99,"accuracyNote":"Correct, concise, and strictly code-only. No reasoning leakage.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"cd7a80fb1cd78f7ad1f83292b9c855a52c54fefd44aba9ffbd079cc96811eb4b","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"mistral-small","modelName":"Mistral Small 3.1","provider":"Mistral","outputPricePerM":0.6,"output":"```python\ndef fib(n):\n    if n == 0:\n        return 0\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":629,"tokensIn":76,"tokensOut":60,"tokensPerSecond":95.4,"costUsd":0.000047399999999999993,"accuracy":99,"accuracyNote":"Correct, concise, code-only — identical quality to the larger Mistral at a fraction of the cost.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"cd7a80fb1cd78f7ad1f83292b9c855a52c54fefd44aba9ffbd079cc96811eb4b","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"ministral-8b","modelName":"Ministral 8B","provider":"Mistral","outputPricePerM":0.15,"output":"```python\ndef fib(n):\n    if n == 0:\n        return 0\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":1368,"tokensIn":64,"tokensOut":60,"tokensPerSecond":43.9,"costUsd":0.000018599999999999998,"accuracy":99,"accuracyNote":"Correct, code-only, and one of the cheapest runs in the test.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"cd7a80fb1cd78f7ad1f83292b9c855a52c54fefd44aba9ffbd079cc96811eb4b","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"codestral","modelName":"Codestral","provider":"Mistral","outputPricePerM":0.9,"output":"```python\ndef fib(n):\n    if n == 0:\n        return 0\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":653,"tokensIn":64,"tokensOut":60,"tokensPerSecond":91.9,"costUsd":0.00007319999999999999,"accuracy":99,"accuracyNote":"Correct, code-only — exactly what you want from a code-specialised model.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"cd7a80fb1cd78f7ad1f83292b9c855a52c54fefd44aba9ffbd079cc96811eb4b","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"cerebras-gpt-oss-120b","modelName":"GPT-OSS 120B (Cerebras)","provider":"Cerebras","outputPricePerM":0.75,"output":"<think>\nThe user wants a Python function called `fib(n)` that returns the n-th Fibonacci number with 0-indexed. Use efficient iterative approach and handle n=0 correctly. Return only the code inside a single code block, with no explanation. So I need to provide just a code block with the function definition. Simple. Ensure no extra text. Provide something like:\n\n```python\ndef fib(n):\n    a, b = 0, 1\n    for _ in range(n):\n        a, b = b, a + b\n    return a\n```\n\nThat handles n=0 returns 0. That's correct. Provide only code block.\n</think>\n```python\ndef fib(n):\n    a, b = 0, 1\n    for _ in range(n):\n        a, b = b, a + b\n    return a\n```","status":"completed","finishReason":"","latencyMs":213,"tokensIn":127,"tokensOut":184,"tokensPerSecond":863.8,"costUsd":0.00018245,"accuracy":80,"accuracyNote":"Correct canonical solution at blistering speed, but a <think> block leaked into the output.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"a1d43cb0157cd3d04bde4fb07d1e3152e86036c295e9832872c4513e58674bb1","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"cerebras-glm-4.7","modelName":"GLM 4.7 (Cerebras)","provider":"Cerebras","outputPricePerM":2.75,"output":"<think>\nWe need to write a Python function called fib(n) that returns the n-th Fibonacci number (0-indexed). Use an efficient iterative approach and handle n=0 correctly. Return only the code inside a single code block, with no explanation.\n\nSo the solution: define function fib(n). Use iterative method: if n <= 1: return n. else: a, b = 0, 1; for i in range(2, n+1): a, b = b, a+b; return b.\n\nMake sure to handle n=0 correctly: returns 0. Also handle n=1 returns 1.\n\nWe need to output only the code inside a single code block. So we'll output:\n\n```python\ndef fib(n):\n    if n <= 1:\n        return n\n    a, b = 0, 1\n    for _ in range(2, n+1):\n        a, b = b, a + b\n    return b\n```\n\nThat's it. No explanation.\n</think>\n```python\ndef fib(n):\n    if n <= 1:\n        return n\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":377,"tokensIn":65,"tokensOut":271,"tokensPerSecond":718.8,"costUsd":0.0008915,"accuracy":80,"accuracyNote":"Correct solution, but the model exposed its <think> reasoning before the final code block.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"5b09a6ecae0b0c4ebeaf0fed639ffa7d38aa30e8baea93c2c861070b29a3c3aa","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"nova-lite","modelName":"Amazon Nova Lite","provider":"Amazon","outputPricePerM":0.24,"output":"```python\ndef fib(n):\n    if n == 0:\n        return 0\n    elif n == 1:\n        return 1\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":562,"tokensIn":65,"tokensOut":75,"tokensPerSecond":133.5,"costUsd":0.0000219,"accuracy":98,"accuracyNote":"Correct, code-only, clean explicit base cases.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"3e1f8b3777e1bd772c4a101c70e97e395ed1f59eca5dfe703ebc3a2d80427572","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"nova-micro","modelName":"Amazon Nova Micro","provider":"Amazon","outputPricePerM":0.14,"output":"```\ndef fib(n):\n    if n == 0:\n        return 0\n    elif n == 1:\n        return 1\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"","latencyMs":530,"tokensIn":65,"tokensOut":73,"tokensPerSecond":137.7,"costUsd":0.000012494999999999998,"accuracy":97,"accuracyNote":"Correct and code-only; used a bare ``` fence without a language tag — a trivial nit.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"1306c9cd67e804a40617e532eae72b59247ae26c25cadafdbdfbaf2e2ed6783e","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"},{"modelId":"muse-spark-1.3-contributor","modelName":"Muse Spark 1.3 Contributor","provider":"Meta","outputPricePerM":0.2,"output":"```python\ndef fib(n):\n    if n <= 1:\n        return n\n    a, b = 0, 1\n    for _ in range(2, n + 1):\n        a, b = b, a + b\n    return b\n```","status":"completed","finishReason":"stop","latencyMs":3703,"tokensIn":67,"tokensOut":707,"tokensPerSecond":190.9,"costUsd":0.0001481,"accuracy":100,"accuracyNote":"Correct iterative algorithm; fib(0)=0 and fib(1)=1 verified. Clean, code-only. A heavy internal reasoner — most of the 707 output tokens were hidden reasoning, making it slower and pricier per answer than its low per-token rate suggests.","receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","rawOutputHash":"d25a76102a8f210d19b5e4a03fd019813491443e11f3afebd03780c35e682936","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","code-fence=present"],"correctionVersion":"correction-v1"}],"receiptVersion":1,"promptHash":"d7291bb1d553582240d939b4f9968735f29004f81c9c6136d1f60876605339c1","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["suite-family=cheap","prompt-hash=sha256","raw-output-hashes=per-result-sha256","grader-version=declared","validation=deterministic"],"correctionVersion":"correction-v1"},{"slug":"short-paragraph-api-explainer","title":"Writing a Short Paragraph","shortTitle":"Short Paragraph","category":"Copywriting","icon":"¶","summary":"A plain-English writing task: explain what an API is to a non-technical small-business owner in 3–4 jargon-free sentences using one analogy.","criteria":["Length is 3–4 sentences as requested.","Uses exactly one clear, real-world analogy.","Avoids technical jargon a non-technical reader would not understand.","Explanation is accurate and engaging, with no leaked reasoning."],"metaTitle":"Best Cheap AI for Writing Short Copy (Under $3/M Tokens) — Tested","metaDescription":"Which budget AI model writes the clearest plain-English paragraph? We benchmarked every LLM under $3 per million tokens on a real copywriting task for speed, cost, and quality.","keywords":["cheap AI for writing","best budget LLM for copywriting","AI paragraph generator","plain English AI explainer","cheapest writing AI 2026","LLM copywriting comparison"],"prompt":"Write a single short paragraph (3 to 4 sentences) explaining what an API is to a non-technical small-business owner. Use one simple real-world analogy and avoid technical jargon.","results":[{"modelId":"gpt-5.4-nano","modelName":"GPT-5.4 Nano","provider":"OpenAI","outputPricePerM":1.25,"output":"An API is like a waiter who carries your order from you to the kitchen and brings back the food you asked for. Instead of you personally going into the kitchen to place an order every time, you give the instructions to the waiter, and it helps different parts of a business work together smoothly. For a small business, that can mean faster updates and fewer manual steps when using tools like scheduling, payments, or customer updates.","status":"completed","finishReason":"","latencyMs":1117,"tokensIn":43,"tokensOut":88,"tokensPerSecond":78.8,"costUsd":0.00011859999999999998,"accuracy":97,"accuracyNote":"Tight 3-sentence waiter analogy, zero jargon, tied directly to small-business benefits. Ideal length.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"210474e92d1d5e7b227186ddd9bafd7b85eca3b0f6ea97f96802ba00be291eac","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"},{"modelId":"gemini-3.1-flash-lite","modelName":"Gemini 3.1 Flash Lite","provider":"Google","outputPricePerM":1.5,"output":"Think of an API as a waiter in a restaurant who acts as the essential messenger between you and the kitchen. You provide your order to the waiter, who delivers it to the chefs and then brings your finished meal back to your table. In the same way, an API allows your different business software tools to \"talk\" to each other, automatically sharing information so you don’t have to manually move data between them.","status":"completed","finishReason":"","latencyMs":876,"tokensIn":40,"tokensOut":84,"tokensPerSecond":95.9,"costUsd":0.000136,"accuracy":95,"accuracyNote":"Clear waiter/kitchen analogy, well written, on-length, with only the lightest touch of jargon.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"49218b08d18f2a0dd5dba68b6668566ad86dc1fcbeb1723e451e3645e2d4ca04","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"},{"modelId":"grok-4.3","modelName":"Grok 4.3","provider":"xAI","outputPricePerM":2.5,"output":"<think>\nThe task is: \"Write a single short paragraph (3 to 4 sentences) explaining what an API is to a non-technical small-business owner. Use one simple real-world analogy and avoid technical jargon.\"\nAn API is like a waiter in a restaurant: you (the customer or business) tell them what you want from the menu or kitchen, and they bring it back without you needing to go into the back and handle the details yourself.\n</think>\nThink of an API as a waiter in a restaurant. You simply tell the waiter what you need from the menu, and they bring it to you from the kitchen without you ever stepping inside or learning how the dishes are made. For your business, this means one software tool can quietly request information or services from another—like pulling live stock levels from a supplier—so everything stays connected and up to date without extra phone calls or manual work.","status":"completed","finishReason":"","latencyMs":4119,"tokensIn":45,"tokensOut":130,"tokensPerSecond":31.6,"costUsd":0.00038125,"accuracy":82,"accuracyNote":"Excellent, concrete answer (live stock levels from a supplier), but a leaked <think> preamble undercuts the clean-output goal.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"48fae9524b713506b1f6b09554eb82950abde0a4984f6347a9c78919ce41721d","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected"],"correctionVersion":"correction-v1"},{"modelId":"llama-4-scout","modelName":"Llama 4 Scout","provider":"Groq","outputPricePerM":0.34,"output":"An API, or Application Programming Interface, is like a messenger between different businesses that helps them share information with each other. Imagine you're at a restaurant and you want to order food from a menu, but instead of going into the kitchen yourself, you give your order to the waiter, who takes it to the kitchen staff. They then prepare your food according to your request and send it back to you through the waiter. In a similar way, an API helps different computer systems communicate with each other, allowing them to share information and services without needing to know all the details of how the other system works.","status":"completed","finishReason":"","latencyMs":454,"tokensIn":48,"tokensOut":121,"tokensPerSecond":266.5,"costUsd":0.000046420000000000006,"accuracy":86,"accuracyNote":"Good restaurant analogy but spells out \"Application Programming Interface\" and runs slightly long at the upper edge of the length limit.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"83228ff5ce5ac7c9ecabc30dfa237090b8ec9b6dc72f77267518fe8c40d0b637","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"},{"modelId":"gpt-oss-120b","modelName":"GPT-OSS 120B","provider":"Groq","outputPricePerM":0.6,"output":"<think>\nWe need to write a single short paragraph (3-4 sentences) explaining what an API is to a non-technical small-business owner. Use a simple real-world analogy and avoid technical jargon. So something like: \"Think of an API like a waiter in a restaurant. The waiter takes your order (request) to the kitchen (service) and brings back the food (response).\" Avoid technical jargon. Provide 3-4 sentences, single paragraph. Ensure it's short, simple, friendly.\n</think>\nThink of an API as the friendly waiter in a restaurant: you tell the waiter what you’d like (your request), they pass the order to the kitchen (the service), and then bring the finished dish back to you (the response). It lets different parts of a business—like your website, your inventory system, or a payment service—talk to each other without you having to know the details of how each one works. By using this “waiter,” you can easily add new features (like online bookings or automatic receipts) without rebuilding everything from scratch.","status":"completed","finishReason":"","latencyMs":588,"tokensIn":108,"tokensOut":222,"tokensPerSecond":377.6,"costUsd":0.00014939999999999997,"accuracy":80,"accuracyNote":"Solid waiter analogy, but a <think> block leaked in and the prose sprinkles in parenthetical jargon (request/service/response).","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"f17d529b32e8318c8308ad703494589a37779ea74472aba86838a028a9e928c6","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected"],"correctionVersion":"correction-v1"},{"modelId":"gpt-oss-20b","modelName":"GPT-OSS 20B","provider":"Groq","outputPricePerM":0.3,"output":"<think>\nWe need to produce a single short paragraph, 3 to 4 sentences, explaining what an API is to a non-technical small-business owner. Use one simple real-world analogy, avoid technical jargon. So maybe \"like a menu at a restaurant\" analogy. Keep it short, 3-4 sentences. Should be a single paragraph. So combine into one paragraph. Let's produce 4 sentences.\n</think>\nAn API is like the menu at a restaurant: it lists all the dishes (services) you can order and tells the kitchen (the system) exactly what you want, so you don’t have to speak the chef’s language. When you pick a dish, the kitchen follows the recipe and brings it back to you without you needing to know how to cook it. This lets you combine different foods—just as you can mix different services—without having to build everything from scratch. In short, an API lets your business easily add new features by “ordering” them from other tools, just as you’d order a new dish from a menu.","status":"completed","finishReason":"","latencyMs":326,"tokensIn":108,"tokensOut":220,"tokensPerSecond":674.8,"costUsd":0.00007409999999999999,"accuracy":80,"accuracyNote":"Good menu analogy and on-length, but preceded by a leaked <think> block.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"4411063b4c273b0afc9a3772750ec6fa696aefb9b36c114e92f132ea1caf2379","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected"],"correctionVersion":"correction-v1"},{"modelId":"llama-3.3-70b","modelName":"Llama 3.3 70B","provider":"Groq","outputPricePerM":0.79,"output":"Think of an API, or Application Programming Interface, like a restaurant's ordering system. Just as you give your order to the waiter, who then takes it to the kitchen staff to prepare, an API allows different computer systems to communicate with each other by sending and receiving requests. This enables different systems to work together seamlessly, much like how the waiter acts as a middleman between you and the kitchen. By using an API, your business can connect with other systems and services to access new features and capabilities, just like how the restaurant can offer a wider range of dishes by working with different suppliers.","status":"completed","finishReason":"","latencyMs":611,"tokensIn":73,"tokensOut":120,"tokensPerSecond":196.4,"costUsd":0.00013787,"accuracy":87,"accuracyNote":"Clear restaurant analogy; lightly jargon-y (\"sending and receiving requests\") and expands the acronym.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"2e09f63a045968a36d9c6b84339e4d114315caf0517d2cb6c462d52d8af4a4bf","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"},{"modelId":"llama-3.1-8b","modelName":"Llama 3.1 8B","provider":"Groq","outputPricePerM":0.08,"output":"An API, or Application Programming Interface, is like a restaurant's menu. Just as a menu allows you to order food from a restaurant without having to know the secret recipes or cooking methods, an API allows different software systems to communicate with each other without needing to understand each other's inner workings. When you use an API, you're essentially placing an order (or sending a request) and getting a response back, just like receiving your food. This makes it easier for different systems to work together and exchange information.","status":"completed","finishReason":"","latencyMs":320,"tokensIn":73,"tokensOut":104,"tokensPerSecond":325,"costUsd":0.000011969999999999999,"accuracy":88,"accuracyNote":"Good menu analogy with a tidy request/response payoff, but expands the acronym and leans mildly technical.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"d7f22bbe7f7691ff725dda79cf560f6728b09e1e3fa1de0cbd4540b1cc76c9e4","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"},{"modelId":"qwen3-32b","modelName":"Qwen 3 32B","provider":"Groq","outputPricePerM":0.59,"output":"<think>\nOkay, the user wants me to explain what an API is to a non-technical small business owner. Let me start by thinking about how to make this relatable. They mentioned a real-world analogy, so I need something simple.\n\nHmm, maybe a restaurant? Like, the API is like a waiter. The waiter takes the customer's order (the request) to the kitchen (the system), and brings back the food (the data). That makes sense. But wait, maybe there's a better analogy. Let me think.\n\nAnother idea: a mail carrier. If you need information, you send a letter (request) and get a response. But the restaurant analogy is more interactive. Let me stick with that.\n\nNow, avoid technical terms. No need for API gates, endpoints, or JSON. Just simple terms. Let me phrase it as, \"Imagine your restaurant needs to check inventory. The kitchen is busy, so you send a runner to ask. The runner brings back the info so you can manage orders.\"\n\nWait, the business owner example might want to see how it helps their business. Maybe connect it to tools they use, like booking systems or order management. So, \"Using a booking system to check table availability without manually calling each customer.\"\n\nNeed to tie it back to API as the waiter enabling communication between systems. Let me put it all together in a paragraph. Make sure it's three to four sentences. Check for jargon. Is the analogy clear? Yes. Does it explain the function? The API (waiter) handles requests between systems (kitchen and customer). That should work.\n</think>\n\nAn API is like a friendly staff member who takes your orders and makes sure different parts of your business talk to each other smoothly. For example, if you run a restaurant and use an online booking tool to check table availability, the API acts as the messenger between the booking system and your kitchen’s schedule, so you don’t have to manually call every customer to update them. It saves time and reduces errors by automatically sharing the right info where it’s needed.","status":"completed","finishReason":"","latencyMs":1551,"tokensIn":46,"tokensOut":423,"tokensPerSecond":272.7,"costUsd":0.00026291,"accuracy":78,"accuracyNote":"The final 3-sentence answer is strong (booking-tool example), but buried under a long leaked <think> monologue.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"22026849898d090052075fe07250eabb2e732df791f4d4feba28072ec64d0017","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected"],"correctionVersion":"correction-v1"},{"modelId":"deepseek-v4-flash","modelName":"DeepSeek V4 Flash","provider":"DeepSeek","outputPricePerM":0.28,"output":"<think>\nWe need to explain API to non-technical small business owner. Short paragraph 3-4 sentences. Use one real-world analogy. Avoid jargon. Analogy: restaurant waiter or waiter taking order to kitchen and bringing back food. That's classic. Also think of a translator between two systems. But keep simple. Write paragraph.\n</think>\nAn API is like a restaurant waiter. You tell the waiter what you want to order, the waiter takes that request to the kitchen, and then brings your food back. In the same way, an API lets your business software (like your website or accounting app) talk to another service (like a payment processor or shipping company) securely, sending requests and getting results without you needing to handle the technical details.","status":"completed","finishReason":"","latencyMs":2985,"tokensIn":41,"tokensOut":149,"tokensPerSecond":49.9,"costUsd":0.000047459999999999996,"accuracy":84,"accuracyNote":"Clean waiter analogy with a payment/shipping example and no jargon — docked only for the leaked <think> preamble.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"906b44b06b7b4069da988941d6585b42a0d79893daca850355c5daa16f558629","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected"],"correctionVersion":"correction-v1"},{"modelId":"deepseek-v4-pro","modelName":"DeepSeek V4 Pro","provider":"DeepSeek","outputPricePerM":0.87,"output":"<think>\nWe need to write a single short paragraph (3-4 sentences) explaining what an API is to a non-technical small-business owner. Use one simple real-world analogy and avoid technical jargon.\n\nI need to craft a concise explanation. The analogy should be real-world, like a waiter in a restaurant. I'll say: An API is like a waiter in a restaurant—it takes your order, tells the kitchen what you want, and brings back your food. It lets different software programs talk to each other and share information without you needing to know how the kitchen works. For your business, APIs connect your website to payment processors, shipping tools, or social media, automating tasks you’d otherwise do manually. That's 3-4 sentences. Check: 1st sentence analogy, 2nd sentence explains what it does broadly, 3rd sentence business context. No technical jargon. Good.\n</think>\nThink of an API like a waiter in a restaurant: you tell the waiter what you’d like, the waiter relays your order to the kitchen, and then brings you exactly the food you asked for. In the same way, an API lets your business’s website or app place a specific request with another company’s system—like asking a payment processor to handle a transaction—and neatly delivers the result back to you. It’s a simple bridge that makes different software work together seamlessly, so you can automatically accept payments, pull in shipping rates, or sync your customer list without any manual copying or guesswork.","status":"completed","finishReason":"","latencyMs":4540,"tokensIn":41,"tokensOut":308,"tokensPerSecond":67.8,"costUsd":0.000285795,"accuracy":84,"accuracyNote":"Polished, concrete answer (payments, shipping rates, customer sync); the leaked <think> block is the only blemish.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"db24a6153d2e5708fa525382b3d86de16d49280e6c9abfda1f4d3c3208366b2c","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected"],"correctionVersion":"correction-v1"},{"modelId":"mistral-medium","modelName":"Mistral Medium 3","provider":"Mistral","outputPricePerM":2,"output":"An API is like a waiter in a restaurant: you (the customer) place an order (request) for food (data or service), and the waiter (API) communicates your order to the kitchen (another system or service) and brings back your meal (response). It allows different software applications to talk to each other and share information seamlessly, just like the waiter connects you to the kitchen. This way, you can use features or data from other services without needing to know how they work behind the scenes. APIs save time and make your business tools more powerful by connecting them easily.","status":"completed","finishReason":"","latencyMs":3451,"tokensIn":55,"tokensOut":119,"tokensPerSecond":34.5,"costUsd":0.00026,"accuracy":90,"accuracyNote":"Strong waiter analogy and no leakage, but relies on parenthetical glosses (request/response/data) and nudges to 4 sentences.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"02e692e523998e3ad049e53da39b7f2e2d8d39261850a745bb83535aee12b616","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"},{"modelId":"mistral-small","modelName":"Mistral Small 3.1","provider":"Mistral","outputPricePerM":0.6,"output":"An API (Application Programming Interface) is like a waiter in a restaurant—it takes your order (a request for information or a task) and brings back the response from the kitchen (the data or service you need) without you having to step behind the scenes. Instead of building everything yourself, an API lets you connect your business tools to other services (like payment processors or customer databases) quickly and securely. It’s the \"middleman\" that saves you time and effort by handling the technical work behind the scenes. Think of it as a bridge that lets different software systems \"talk\" to each other easily.","status":"completed","finishReason":"","latencyMs":1516,"tokensIn":55,"tokensOut":124,"tokensPerSecond":81.8,"costUsd":0.00008264999999999999,"accuracy":88,"accuracyNote":"Good analogy, no leakage, but expands the acronym and piles on extra metaphors (\"middleman\", \"bridge\") past the length sweet spot.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"72d56f1bba9212bd52f3d46654a59e63a777afb136bed3c17717f12dccd49e18","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"},{"modelId":"ministral-8b","modelName":"Ministral 8B","provider":"Mistral","outputPricePerM":0.15,"output":"An **API** (short for *application programming interface*) is like a waiter in a restaurant—it’s the middleperson that connects different services so they can talk to each other smoothly. For example, when you order food online, the app doesn’t cook the meal itself; instead, it uses an API to communicate with the restaurant’s system to place your order. Similarly, your business might use an API to let a payment app, shipping service, or social media platform share information with your website without needing to build everything from scratch. It’s a simple way to make different tools work together seamlessly.","status":"completed","finishReason":"","latencyMs":1691,"tokensIn":43,"tokensOut":123,"tokensPerSecond":72.7,"costUsd":0.000024899999999999995,"accuracy":86,"accuracyNote":"Clear food-delivery analogy, no leakage — but uses markdown bold/italics in what should be a plain paragraph and expands the acronym.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"f5d10afe812657d8e9bef6d747896de45fed08dc2ccadc4a667b22a530436797","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"},{"modelId":"codestral","modelName":"Codestral","provider":"Mistral","outputPricePerM":0.9,"output":"An API (Application Programming Interface) is like a waiter in a restaurant—it helps different parts of your business communicate and work together without you having to do all the work yourself. For example, if you use an online payment system, the API acts as the bridge between your website and the payment processor, making sure the transaction happens smoothly. It saves time and effort by letting different tools and services connect seamlessly, just like the waiter brings your order without you needing to know how the kitchen works.","status":"completed","finishReason":"","latencyMs":817,"tokensIn":43,"tokensOut":101,"tokensPerSecond":123.6,"costUsd":0.0001038,"accuracy":91,"accuracyNote":"Concise 3-sentence waiter analogy with a payment example and no leakage; only docked for expanding the acronym.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"180e79ca95622fde6cfafe1cf08986e522f2cba0ae1055bd55c29d5fc05e99ef","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"},{"modelId":"cerebras-gpt-oss-120b","modelName":"GPT-OSS 120B (Cerebras)","provider":"Cerebras","outputPricePerM":0.75,"output":"<think>\nWe need to write a short paragraph (3-4 sentences) explaining what an API is to a non-technical small-business owner, using one simple real-world analogy, avoid technical jargon. So perhaps compare to a restaurant menu: you order from the menu and the kitchen prepares it. Or like a telephone operator. Need to keep 3-4 sentences. So maybe 4 sentences. Provide simple analogy. Avoid technical jargon like \"HTTP\", \"JSON\". Use lay terms: \"like a menu\" etc. Let's produce.\n</think>\nThink of an API as a restaurant menu: the menu lists the dishes you can order, and you don’t need to know how the kitchen prepares each one—you just tell the server what you want, and the kitchen takes care of the rest. In a business setting, the API lists the services a software program offers (like “send an invoice” or “check inventory”) so other programs can request them without seeing the inner workings. It lets different tools talk to each other by using the same simple “order” format, saving you time and reducing the need for custom hand‑coding. This way, your accounting software can automatically pull sales data from your online store just as easily as a waiter brings you a meal from the menu.","status":"completed","finishReason":"","latencyMs":5288,"tokensIn":104,"tokensOut":263,"tokensPerSecond":49.7,"costUsd":0.00023365000000000001,"accuracy":80,"accuracyNote":"Good menu analogy but a leaked <think> block and some service-name jargon (\"send an invoice\", \"check inventory\").","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"12f4e4bb9fd46c077d70df1647cdcd5c3e19eceb402b921cf7bb4354cf43f646","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected"],"correctionVersion":"correction-v1"},{"modelId":"cerebras-glm-4.7","modelName":"GLM 4.7 (Cerebras)","provider":"Cerebras","outputPricePerM":2.75,"output":"<think>\n1.  **Analyze the Request:**\n    *   **Topic:** What is an API?\n    *   **Target Audience:** Non-technical small-business owner.\n    *   **Format:** Single short paragraph.\n    *   **Length:** 3 to 4 sentences.\n    *   **Constraint 1:** Use one simple real-world analogy.\n    *   **Constraint 2:** Avoid technical jargon.\n\n2.  **Drafting - Attempt 1 (Focus on concept):**\n    An API is like a waiter in a restaurant. You (the user) look at the menu and tell the waiter what you want. The waiter takes that order to the kitchen (the system) and brings the food back to you. You don't need to know how the kitchen cooks the food, just how to order it.\n\n3.  **Refining - Attempt 1 (Checking constraints):**\n    *   *Length:* 4 sentences. (Good)\n    *   *Analogy:* Waiter/Restaurant. (Good)\n    *   *Jargon:* None. (Good)\n    *   *Audience:* Simple enough for a business owner.\n\n4.  **Drafting - Attempt 2 (Focus on business context):**\n    Think of an API as a digital messenger that lets different software programs talk to each other, just like a waiter takes your order from the table to the kitchen. When you use a booking app on your website, the API sends that request to the calendar system to save the date without you having to type it in twice. It works behind the scenes to connect your tools, allowing them to share information automatically. This saves you time so you can focus on running your business instead of moving data around manually.\n\n5.  **Refining - Attempt 2 (Checking constraints):**\n    *   *Length:* 4 sentences. (Good)\n    *   *Analogy:* Waiter/Messenger. (Good)\n    *   *Jargon:* \"Booking app,\" \"calendar system,\" \"software programs.\" (Acceptable, but maybe keep it more abstract to fit \"short paragraph\" better).\n\n6.  **Drafting - Attempt 3 (Polishing for impact and simplicity):**\n    Think of an API like a waiter in a restaurant who takes your order and delivers it to the kitchen. You don't need to know how the chefs cook the meal or how the stove works; you just tell the waiter what you want, and they bring the result back to you. In the digital world, an API allows your different business software—like your website and your inventory system—to communicate and share information without you having to do it manually. This helps your tools work together smoothly to save you time and effort.\n\n7.  **Final Review against constraints:**\n    *   *Single short paragraph?* Yes.\n    *   *3 to 4 sentences?* Yes (3 sentences).\n    *   *Audience?* Non-technical small-business owner.\n    *   *Analogy?* Waiter/Kitchen.\n    *   *Jargon?* Avoided (only \"API\" itself and \"inventory system\" which is standard business language).\n\n8.  **Final Polish (Sentence 3 split for readability?):**\n    Think of an API like a waiter in a restaurant who takes your order and delivers it to the kitchen. You don't need to know how the chefs cook the meal; you just tell the waiter what you want, and they bring the result back to you. Similarly, an API allows your different software tools to talk to each other and share information automatically. This connection helps your business systems work together smoothly without you having to manually transfer data between them.\n\n    *Count:* 4 sentences.\n    *Analogy:* Waiter.\n    *Jargon:* Minimal.\n\n    Let's try to make it even tighter.\n\n    Think of an API like a waiter who takes your order and communicates it to the kitchen. You don't need to know how the food is prepared; you simply tell the waiter what you want, and they bring the finished dish back to you. In the same way, an API allows your different business software programs to talk to each other and share information automatically. This helps your tools work together seamlessly so you don't have to manually enter data in multiple places.\n\n    *Count:* 4 sentences.\n    *Analogy:* Waiter.\n    *Jargon:* \"Software programs\" is okay.\n    *Tone:* Helpful.\n\n9.  **Final Selection:** The version in step 8 is strong.\n</think>\nThink of an API like a waiter who takes your order and communicates it to the kitchen. You don't need to know how the food is prepared; you simply tell the waiter what you want, and they bring the finished dish back to you. In the same way, an API allows your different business software programs to talk to each other and share information automatically. This helps your tools work together seamlessly so you don't have to manually enter data in multiple places.","status":"completed","finishReason":"","latencyMs":3293,"tokensIn":43,"tokensOut":1029,"tokensPerSecond":312.5,"costUsd":0.0029265,"accuracy":74,"accuracyNote":"The final paragraph is excellent, but the model exposed a ~1,000-token multi-draft <think> process — the largest leakage in this test.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"0e1b58f056a721da872756c06e5bc79a89891c741c3cb008cebfbf43f3c2f69f","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected"],"correctionVersion":"correction-v1"},{"modelId":"nova-lite","modelName":"Amazon Nova Lite","provider":"Amazon","outputPricePerM":0.24,"output":"An API is like a waiter in a restaurant: you tell the waiter (the API) what you want from the menu (the services), and they go to the kitchen (the backend) to get it for you. Once they bring your order (the data) to your table, you can enjoy your meal (use the service) without needing to know how it was prepared. APIs help businesses streamline operations by allowing different software systems to communicate and work together seamlessly.","status":"completed","finishReason":"","latencyMs":1104,"tokensIn":39,"tokensOut":94,"tokensPerSecond":85.1,"costUsd":0.000024900000000000002,"accuracy":88,"accuracyNote":"Clean waiter analogy, no leakage, but parenthetically exposes \"the backend\" — mild jargon for the target reader.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"69266104fafcd72851076486e9ce9dfb2affe28154c6e264d87600aaa2b4852c","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"},{"modelId":"nova-micro","modelName":"Amazon Nova Micro","provider":"Amazon","outputPricePerM":0.14,"output":"An API is like a waiter in a restaurant that brings you the information or services you request from different parts of a big kitchen; it helps your business get exactly what it needs from other systems without having to understand the complex cooking or preparation happening behind the scenes.","status":"completed","finishReason":"","latencyMs":658,"tokensIn":39,"tokensOut":53,"tokensPerSecond":80.5,"costUsd":0.000008785,"accuracy":78,"accuracyNote":"Jargon-free and well-analogised, but compressed the whole answer into a single run-on sentence rather than the requested 3–4.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"b1ad898bfd5c053c271216637e95673746042e17a95f394499333025e786e95b","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"},{"modelId":"muse-spark-1.3-contributor","modelName":"Muse Spark 1.3 Contributor","provider":"Meta","outputPricePerM":0.2,"output":"An API is a helper that lets two of your business tools share information automatically so you don't have to retype it. Think of it like a restaurant waiter who carries your order from your table to the kitchen and brings the food back. For example, it can take a sale from your online shop and send it straight to your bookkeeping so your records stay up to date.","status":"completed","finishReason":"stop","latencyMs":6208,"tokensIn":45,"tokensOut":1165,"tokensPerSecond":187.7,"costUsd":0.0002375,"accuracy":97,"accuracyNote":"Tight 3-sentence waiter analogy, zero jargon, with a concrete small-business example. Same again: most of the 1,165 output tokens were hidden reasoning for a task this simple, so real latency and cost run well above what the visible answer implies.","receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","rawOutputHash":"9d356e2dad28656f0b2f9d97826f8c5cd2037802fe95e69214bb21929dbacd90","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent"],"correctionVersion":"correction-v1"}],"receiptVersion":1,"promptHash":"06bc5a20094984a8cf1ca8fc4ab7e6b83d36d0297d4d7a02d522f5b9433a9e2b","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["suite-family=cheap","prompt-hash=sha256","raw-output-hashes=per-result-sha256","grader-version=declared","validation=deterministic"],"correctionVersion":"correction-v1"},{"slug":"structured-data-extraction","title":"Extracting Structured Data","shortTitle":"Structured Data","category":"Structured Data","icon":"[ ]","summary":"A structured-output task: read one sentence and return strict JSON with a string name, numeric price, and boolean stock flag — no markdown, no prose.","criteria":["Output is valid, parseable JSON.","Extracts the full product name (\"DeskPro X1 monitor stand\").","Correct types: price as a number (49.99), in_stock as a boolean (true).","Returns only the JSON — no markdown fences, prose, or leaked reasoning."],"metaTitle":"Best Cheap AI for JSON / Data Extraction (Under $3/M Tokens) — Tested","metaDescription":"We benchmarked every AI model under $3 per million tokens on a strict JSON data-extraction task. Compare real speed, cost, and accuracy to pick the best cheap extraction model.","keywords":["cheap AI for JSON","best budget LLM for data extraction","AI structured output benchmark","LLM JSON extraction comparison","cheapest extraction AI 2026","structured data AI test"],"prompt":"Extract the product details from the following sentence and return ONLY a valid JSON object with exactly these keys: \"name\" (string), \"price\" (number), \"in_stock\" (boolean). Do not include any explanation or markdown. Sentence: \"The DeskPro X1 monitor stand normally retails for $49.99 and is currently available to ship.\"","results":[{"modelId":"gpt-5.4-nano","modelName":"GPT-5.4 Nano","provider":"OpenAI","outputPricePerM":1.25,"output":"{\"name\":\"DeskPro X1 monitor stand\",\"price\":49.99,\"in_stock\":true}","status":"completed","finishReason":"","latencyMs":488,"tokensIn":78,"tokensOut":24,"tokensPerSecond":49.2,"costUsd":0.0000456,"accuracy":100,"accuracyNote":"Perfect: compact valid JSON, full product name, correct number and boolean types, no markdown or prose.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"ebe74112168afc03369b78be17b508792711cb92a84e9c97e48379182dac8206","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"gemini-3.1-flash-lite","modelName":"Gemini 3.1 Flash Lite","provider":"Google","outputPricePerM":1.5,"output":"{\n  \"name\": \"DeskPro X1 monitor stand\",\n  \"price\": 49.99,\n  \"in_stock\": true\n}","status":"completed","finishReason":"","latencyMs":477,"tokensIn":75,"tokensOut":36,"tokensPerSecond":75.5,"costUsd":0.00007274999999999999,"accuracy":99,"accuracyNote":"Valid JSON, full name, correct types, no markdown — just pretty-printed rather than compact.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"3826fa83b2b396c1d710eb5fa27351deab82b5354f768a9743ac558b33a096fe","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"grok-4.3","modelName":"Grok 4.3","provider":"xAI","outputPricePerM":2.5,"output":"<think>\nThe task is: Extract the product details from the sentence and return ONLY a valid JSON object with exactly these keys: \"name\" (string), \"price\" (number), \"in_stock\" (boolean). Do not include any expl...\n</think>\n{\n\"name\": \"DeskPro X1 monitor stand\",\n\"price\": 49.99,\n\"in_stock\": true\n}","status":"completed","finishReason":"","latencyMs":2819,"tokensIn":81,"tokensOut":74,"tokensPerSecond":26.3,"costUsd":0.00028625,"accuracy":80,"accuracyNote":"Valid JSON with the full name and correct types, but a leaked <think> block violates \"return ONLY a valid JSON object\".","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"023d73fe1562655765d39c7d7a1306a35666d00426c2d6accfb71cc38ceec5b5","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"llama-4-scout","modelName":"Llama 4 Scout","provider":"Groq","outputPricePerM":0.34,"output":"```json\n{\n  \"name\": \"DeskPro X1 monitor stand\",\n  \"price\": 49.99,\n  \"in_stock\": true\n}\n```","status":"completed","finishReason":"","latencyMs":350,"tokensIn":82,"tokensOut":35,"tokensPerSecond":100,"costUsd":0.000020920000000000003,"accuracy":85,"accuracyNote":"Correct values and full name, but wrapped the JSON in a ```json markdown fence after being told \"no markdown\".","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"6755f288b404d7655920b1a485c24cf630a3035286e1fb3f6b6178cd6d6a4761","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"gpt-oss-120b","modelName":"GPT-OSS 120B","provider":"Groq","outputPricePerM":0.6,"output":"<think>\nWe need to output JSON with keys name, price, in_stock. Extract details: name: \"DeskPro X1 monitor stand\". price: 49.99. in_stock: true (available to ship). Return only JSON, no markdown.\n</think>\n{\"name\":\"DeskPro X1 monitor stand\",\"price\":49.99,\"in_stock\":true}","status":"completed","finishReason":"","latencyMs":277,"tokensIn":143,"tokensOut":81,"tokensPerSecond":292.4,"costUsd":0.00007005,"accuracy":80,"accuracyNote":"Final JSON is correct and complete, but a <think> block leaked in despite the \"no explanation\" instruction.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"2e3929c7452e4f92273386be003daae6fb8e13e8ea98598cda2684cdd132afb5","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"gpt-oss-20b","modelName":"GPT-OSS 20B","provider":"Groq","outputPricePerM":0.3,"output":"<think>\nThe user wants to extract product details: name: \"DeskPro X1 monitor stand\", price: 49.99, in_stock: true. The sentence: \"The DeskPro X1 monitor stand normally retails for $49.99 and is currently available to ship.\" The name: \"DeskPro X1 monitor stand\". Price: 49.99. In_stock: currently available to ship => in stock: true. JSON with keys: name, price, in_stock.\n\nReturn only JSON object, no explanation, no markdown. So just:\n\n{\"name\":\"DeskPro X1 monitor stand\",\"price\":49.99,\"in_stock\":true}\n</think>\n{\"name\":\"DeskPro X1 monitor stand\",\"price\":49.99,\"in_stock\":true}","status":"completed","finishReason":"","latencyMs":343,"tokensIn":143,"tokensOut":164,"tokensPerSecond":478.1,"costUsd":0.00005992499999999999,"accuracy":80,"accuracyNote":"Correct JSON with the full name, but preceded by a leaked <think> reasoning block.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"5c48aa19881b50afbbe4df83e7044701da97b6cc8c7715095aa149ae86710a4d","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"llama-3.3-70b","modelName":"Llama 3.3 70B","provider":"Groq","outputPricePerM":0.79,"output":"{\"name\": \"DeskPro X1 monitor stand\", \"price\": 49.99, \"in_stock\": true}","status":"completed","finishReason":"","latencyMs":172,"tokensIn":107,"tokensOut":26,"tokensPerSecond":151.2,"costUsd":0.00008367,"accuracy":99,"accuracyNote":"Valid compact JSON, full name, correct types, no markdown or prose. Fastest run in this test.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"fd7235933ea0af34f4c177a06a5e952cde2f4234c9a527e41f1ae8b615da397f","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"llama-3.1-8b","modelName":"Llama 3.1 8B","provider":"Groq","outputPricePerM":0.08,"output":"{\"name\": \"DeskPro X1 monitor stand\", \"price\": 49.99, \"in_stock\": true}","status":"completed","finishReason":"","latencyMs":296,"tokensIn":107,"tokensOut":26,"tokensPerSecond":87.8,"costUsd":0.00000743,"accuracy":99,"accuracyNote":"Valid compact JSON, full name, correct types, no markdown — and the cheapest run here.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"fd7235933ea0af34f4c177a06a5e952cde2f4234c9a527e41f1ae8b615da397f","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"qwen3-32b","modelName":"Qwen 3 32B","provider":"Groq","outputPricePerM":0.59,"output":"<think>\nOkay, let me try to figure this out. The user wants me to extract product details from a sentence and put them into aJSON object with specific keys: name, price, and in_stock. The sentence given is \"The DeskPro X1 monitor stand normally retails for $49.99 and is currently available to ship.\" \n\nFirst, I need to identify the product name. The sentence starts with \"The DeskPro X1 monitor stand...\" so the name is probably \"DeskPro X1 monitor stand\". I should check if there's any other part of the name, but \"DeskPro X1\" seems like the model, and \"monitor stand\" is the product type. So the name key should be that full phrase.\n\nNext, the price is mentioned as \"$49.99\". The key requires a number, so I need to remove the dollar sign and convert it to a numerical value. That would be 49.99. \n\nFor the in_stock boolean, the sentence says \"is currently available to ship\". If it's available to ship, that likely means it's in stock. So in_stock should be true. \n\nI need to make sure there are only those three keys and that the JSON is valid. Let me double-check each part. The name is correct, price is a number without the currency symbol, and in_stock is a boolean. No other keys are needed. Alright, putting that all together into a JSON object with the exact keys.\n</think>\n\n{\"name\": \"DeskPro X1 monitor stand\", \"price\": 49.99, \"in_stock\": true}","status":"completed","finishReason":"","latencyMs":784,"tokensIn":82,"tokensOut":336,"tokensPerSecond":428.6,"costUsd":0.00022202000000000002,"accuracy":75,"accuracyNote":"Final JSON is correct, but buried under a ~340-token leaked <think> monologue — the opposite of \"JSON only\".","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"cb6eb2d20f562af88a59cbdd63c0b0468efda7ef969d378038ddef1d65697701","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"deepseek-v4-flash","modelName":"DeepSeek V4 Flash","provider":"DeepSeek","outputPricePerM":0.28,"output":"<think>\nWe need to extract product details: name, price (number), in_stock. Sentence: \"The DeskPro X1 monitor stand normally retails for $49.99 and is currently available to ship.\"\n\nName: \"DeskPro X1 monitor stand\" (should be string)\nPrice: $49.99 -> 49.99 as number\nIn_stock: \"currently available to ship\" implies it's in stock, so true.\n\nReturn JSON only.\n</think>\n{\"name\": \"DeskPro X1 monitor stand\", \"price\": 49.99, \"in_stock\": true}","status":"completed","finishReason":"","latencyMs":2033,"tokensIn":79,"tokensOut":123,"tokensPerSecond":60.5,"costUsd":0.000045499999999999995,"accuracy":82,"accuracyNote":"Correct JSON with full name and proper types; docked only for the leaked <think> preamble.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"5b97436361cd389f75d422e6939e7ff9afca4be0a5504c8d9979ab4f59315454","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"deepseek-v4-pro","modelName":"DeepSeek V4 Pro","provider":"DeepSeek","outputPricePerM":0.87,"output":"<think>\nWe are asked to extract product details from the sentence: \"The DeskPro X1 monitor stand normally retails for $49.99 and is currently available to ship.\"\n\nWe need to return ONLY a valid JSON object with keys: \"name\" (string), \"price\" (number), \"in_stock\" (boolean).\n\nFrom the sentence:\n- Name: \"DeskPro X1 monitor stand\"\n- Price: $49.99 -> number 49.99\n- In stock: \"currently available to ship\" implies it is in stock, so true.\n\nSo JSON: {\"name\": \"DeskPro X1 monitor stand\", \"price\": 49.99, \"in_stock\": true}\n\nMake sure no extra text.\n</think>\n{\"name\": \"DeskPro X1 monitor stand\", \"price\": 49.99, \"in_stock\": true}","status":"completed","finishReason":"","latencyMs":2104,"tokensIn":79,"tokensOut":179,"tokensPerSecond":85.1,"costUsd":0.000190095,"accuracy":82,"accuracyNote":"Correct, complete JSON; the leaked <think> block is the only issue.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"d7ceebe74e6c44e5be3735489299cbe9e45cae2554eb1d88198d02bcc3dc9adf","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"mistral-medium","modelName":"Mistral Medium 3","provider":"Mistral","outputPricePerM":2,"output":"{\"name\": \"DeskPro X1 monitor stand\", \"price\": 49.99, \"in_stock\": true}","status":"completed","finishReason":"","latencyMs":808,"tokensIn":91,"tokensOut":29,"tokensPerSecond":35.9,"costUsd":0.00009440000000000002,"accuracy":99,"accuracyNote":"Valid compact JSON, full name, correct types, no markdown or leakage.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"fd7235933ea0af34f4c177a06a5e952cde2f4234c9a527e41f1ae8b615da397f","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"mistral-small","modelName":"Mistral Small 3.1","provider":"Mistral","outputPricePerM":0.6,"output":"{\"name\": \"DeskPro X1 monitor stand\", \"price\": 49.99, \"in_stock\": true}","status":"completed","finishReason":"","latencyMs":530,"tokensIn":91,"tokensOut":29,"tokensPerSecond":54.7,"costUsd":0.000031049999999999996,"accuracy":99,"accuracyNote":"Valid compact JSON, full name, correct types — identical quality to Medium for far less.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"fd7235933ea0af34f4c177a06a5e952cde2f4234c9a527e41f1ae8b615da397f","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"ministral-8b","modelName":"Ministral 8B","provider":"Mistral","outputPricePerM":0.15,"output":"```json\n{\n  \"name\": \"DeskPro X1 monitor stand\",\n  \"price\": 49.99,\n  \"in_stock\": true\n}\n```","status":"completed","finishReason":"","latencyMs":599,"tokensIn":79,"tokensOut":38,"tokensPerSecond":63.4,"costUsd":0.00001755,"accuracy":85,"accuracyNote":"Correct values and full name, but wrapped the output in a ```json markdown fence against instructions.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"6755f288b404d7655920b1a485c24cf630a3035286e1fb3f6b6178cd6d6a4761","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"codestral","modelName":"Codestral","provider":"Mistral","outputPricePerM":0.9,"output":"{\"name\": \"DeskPro X1 monitor stand\", \"price\": 49.99, \"in_stock\": true}","status":"completed","finishReason":"","latencyMs":470,"tokensIn":79,"tokensOut":29,"tokensPerSecond":61.7,"costUsd":0.0000498,"accuracy":99,"accuracyNote":"Valid compact JSON, full name, correct types, no markdown or prose.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"fd7235933ea0af34f4c177a06a5e952cde2f4234c9a527e41f1ae8b615da397f","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"cerebras-gpt-oss-120b","modelName":"GPT-OSS 120B (Cerebras)","provider":"Cerebras","outputPricePerM":0.75,"output":"<think>\nWe need to extract product details: name, price, in_stock. Name is \"The DeskPro X1 monitor stand\". Price is 49.99. in_stock: currently available to ship => true. Return JSON only, no markdown. Ensure keys exact. Provide number, boolean, string.\n</think>\n{\"name\":\"The DeskPro X1 monitor stand\",\"price\":49.99,\"in_stock\":true}","status":"completed","finishReason":"","latencyMs":165,"tokensIn":139,"tokensOut":92,"tokensPerSecond":557.6,"costUsd":0.00011765,"accuracy":72,"accuracyNote":"Leaked a <think> block AND kept the leading \"The\" in the name (\"The DeskPro X1 monitor stand\"), so the extraction is slightly off.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"ba31906fe16dbdf92c8823917e422918f4484f82a3ddb724c37831f9ba6f0937","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"cerebras-glm-4.7","modelName":"GLM 4.7 (Cerebras)","provider":"Cerebras","outputPricePerM":2.75,"output":"<think>\n1.  **Analyze the Request:**\n    *   Input sentence: \"The DeskPro X1 monitor stand normally retails for $49.99 and is currently available to ship.\"\n    *   Task: Extract product details.\n    *   Output format: Valid JSON object only.\n    *   Required keys: \"name\" (string), \"price\" (number), \"in_stock\" (boolean).\n    *   Constraint: No explanation, no markdown code blocks (just the raw JSON).\n\n2.  **Analyze the Sentence to Extract Data:**\n    *   *Name:* \"The DeskPro X1 monitor stand\". I should probably clean this up slightly to just the product name, or keep it as is. \"DeskPro X1 monitor stand\" seems most appropriate. Let's stick to the core product name.\n    *   *Price:* \"$49.99\". The key requires a number. So, 49.99.\n    *   *Stock Status:* \"currently available to ship\". This implies it is in stock. So, true.\n\n3.  **Construct the JSON Object:**\n    *   `name`: \"DeskPro X1 monitor stand\"\n    *   `price`: 49.99\n    *   `in_stock`: true\n\n4.  **Verify against Constraints:**\n    *   Valid JSON? Yes.\n    *   Keys present? \"name\", \"price\", \"in_stock\". Yes.\n    *   Types correct? String, Number, Boolean. Yes.\n    *   No explanation? Yes.\n    *   No markdown? Yes (I need to ensure I don't wrap it in backticks).\n\n5.  **Final Output Generation:**\n    {\"name\": \"DeskPro X1 monitor stand\", \"price\": 49.99, \"in_stock\": true}\n</think>\n{\n  \"name\": \"DeskPro X1 monitor stand\",\n  \"price\": 49.99,\n  \"in_stock\": true\n}","status":"completed","finishReason":"","latencyMs":723,"tokensIn":77,"tokensOut":407,"tokensPerSecond":562.9,"costUsd":0.0012924999999999998,"accuracy":73,"accuracyNote":"The final JSON is correct, but the model exposed a ~400-token multi-step <think> process despite \"no explanation\".","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"404c792a7901808747ed616173a4b57c2d04e7587705ffb6dd4866234417d85a","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=detected","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"nova-lite","modelName":"Amazon Nova Lite","provider":"Amazon","outputPricePerM":0.24,"output":"```json\n{\n  \"name\": \"DeskPro X1 monitor stand\",\n  \"price\": 49.99,\n  \"in_stock\": true\n}\n```","status":"completed","finishReason":"","latencyMs":340,"tokensIn":76,"tokensOut":38,"tokensPerSecond":111.8,"costUsd":0.000013680000000000001,"accuracy":85,"accuracyNote":"Correct values and full name, but wrapped the JSON in a ```json markdown fence after being told \"no markdown\".","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"6755f288b404d7655920b1a485c24cf630a3035286e1fb3f6b6178cd6d6a4761","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"nova-micro","modelName":"Amazon Nova Micro","provider":"Amazon","outputPricePerM":0.14,"output":"{\n  \"name\": \"DeskPro X1 monitor stand\",\n  \"price\": 49.99,\n  \"in_stock\": true\n}","status":"completed","finishReason":"","latencyMs":380,"tokensIn":76,"tokensOut":34,"tokensPerSecond":89.5,"costUsd":0.00000742,"accuracy":99,"accuracyNote":"Valid JSON, full name, correct types, no markdown or prose — only pretty-printed rather than compact.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"3826fa83b2b396c1d710eb5fa27351deab82b5354f768a9743ac558b33a096fe","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"},{"modelId":"muse-spark-1.3-contributor","modelName":"Muse Spark 1.3 Contributor","provider":"Meta","outputPricePerM":0.2,"output":"{\"name\": \"DeskPro X1 monitor stand\", \"price\": 49.99, \"in_stock\": true}","status":"completed","finishReason":"stop","latencyMs":3704,"tokensIn":79,"tokensOut":767,"tokensPerSecond":207.1,"costUsd":0.0001613,"accuracy":100,"accuracyNote":"Valid, compact JSON; full product name; correct number and boolean types; no markdown or prose. Same reasoning tax as the other two tasks — most of the 767 output tokens were hidden chain-of-thought.","receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","rawOutputHash":"fd7235933ea0af34f4c177a06a5e952cde2f4234c9a527e41f1ae8b615da397f","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["prompt-hash=sha256","raw-output-hash=sha256","status=completed","accuracy=range-valid","latency=recorded","tokens=recorded","cost=recorded","grader-score=recorded","reasoning-leak=absent","json-object-candidate=present"],"correctionVersion":"correction-v1"}],"receiptVersion":1,"promptHash":"29e380a6f065c08b6e549dc6236ab8446addb06036bc710f1c830bce3a6559f2","graderVersion":"claude-agent-grader-v1","solverVersion":null,"harnessVersion":null,"validationState":"recorded","validationFlags":["suite-family=cheap","prompt-hash=sha256","raw-output-hashes=per-result-sha256","grader-version=declared","validation=deterministic"],"correctionVersion":"correction-v1"}]}