{"schemaVersion":2,"suite":"cheap-model-tests","evidenceEndpoint":{"readOnly":true,"machineReadable":true},"runAt":"2026-06-16T20:31:30.728Z","repositorySource":"frontend/src/lib/seoTests.ts","test":{"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"}}