o3-Mini API Pricing: High-Speed Analytical and STEM Reasoning
Comprehensive o3-Mini API pricing analysis ($1.10/M input, $4.40/M output), reasoning token overhead, STEM calculation efficiency, and coding benchmarks.
How much does o3-Mini cost per million tokens?
o3-Mini costs $1.10 per million input tokens and $4.40 per million output tokens ($1.925/M blended at 3:1). Optimized for high-throughput mathematical reasoning, coding challenges, and logical analysis. Verified 2026-09-08.
How much does o3-Mini cost per 1,000 requests?
Computed from generated token pricing. Each row assumes the listed input and output tokens per request; this model has no measured verbosity factor, so the unadjusted output estimate is shown.
| Request shape | Input tokens | Output tokens | Cost / 1,000 requests |
|---|---|---|---|
| Short | 100 | 50 | $0.3300 |
| Medium | 1,000 | 500 | $3.3000 |
| Long | 4,000 | 2,000 | $13.2000 |
Formula: ((input price × input tokens) + (output price × output tokens × verbosity factor)) ÷ 1,000,000 × 1,000. Assumptions: short 100/50, medium 1,000/500, long 4,000/2,000 input/output tokens per request. Unadjusted — no measured verbosity factor is available.
Volume ladder, output-cost sensitivity, and migration ledger for o3-Mini
1. Fixed-shape monthly cost ladder
| Workload | Input / output tokens | 100K requests | 1M requests | 10M requests |
|---|---|---|---|---|
| Short chat | 500 / 150 | $121.00 | $1210.00 | $12100.00 |
| Code review | 4,000 / 800 | $792.00 | $7920.00 | $79200.00 |
| Document summary | 16,000 / 2,000 | $2640.00 | $26400.00 | $264000.00 |
Cost = requests × (input tokens × $1.10/M + output tokens × $4.40/M) ÷ 1,000,000, at three fixed text-token workload shapes. No volume discount, cache, or batch rate is inferred — o3-Mini's registry entry does not price those tiers.
2. Output-token cost-sensitivity band
| Workload | Input cost (1 request) | Output cost (1 request) | Output share of spend |
|---|---|---|---|
| Short chat | $0.0006 | $0.0007 | 54.5% |
| Code review | $0.0044 | $0.0035 | 44.4% |
| Document summary | $0.02 | $0.0088 | 33.3% |
Output share = output-token spend ÷ (input-token spend + output-token spend) for a single request at each shape. Across these three shapes, o3-Mini's output share spans 33.3% to 54.5% — a 21.2%-point swing driven entirely by workload shape, not by any change in the $1.10/$4.40 per-1M rates.
3. Successor rate delta and lifecycle ledger
| Rate | o3-Mini | GPT-5.6 Luna | Delta ($ / %) |
|---|---|---|---|
| Input $/M | $1.10 | $1.00 | $-0.1000 (-9.1%) |
| Output $/M | $4.40 | $6.00 | $1.60 (36.4%) |
Delta = successor rate − o3-Mini rate, both taken from the current dated pricing registry. Cache, batch, and context-tier pricing are not substituted across models; each figure is model-specific or marked Unavailable.
| Field | Recorded value | Note |
|---|---|---|
| Lifecycle status | legacy | Verified 2026-08-14 |
| Deprecation announced | Unavailable | No inference beyond the dated record |
| Shutdown date | Unavailable | Null/unavailable is not a promise of indefinite availability |
| Successor | GPT-5.6 Luna | gpt-5-6-luna priced in this registry |
| Context window | Unavailable | Unavailable — no model-specific spec sourced |
Price verified 2026-04-06; lifecycle verified 2026-08-14. Luna is the data owner. "Unavailable" means no compatible dated evidence was found for that field; it is never treated as zero. Dated price source · lifecycle source · Test o3-Mini in All AI Ask.
o3-minio3-Mini API Pricing: High-Speed Analytical and STEM Reasoning
o3-Mini costs $1.10 per million input tokens and $4.40 per million output tokens ($1.925/M blended at 3:1). Optimized for high-throughput mathematical reasoning, coding challenges, and logical analysis. Verified 2026-09-08.
o3-Mini delivers deep logical verification at a fraction of full-size frontier reasoning costs.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | Competitive programming LeetCode hard problem (1K in, 2.5K thought+out): $0.01210 per run |
| Scenario 2 | Calculus proof verification (2K in, 4K thought+out): $0.01980 per problem |
| Scenario 3 | Algorithmic trading strategy backtest verification (4K in, 6K thought+out): $0.03080 per run |
| Scenario 4 | Symbolic logic constraint solver (3K in, 5K thought+out): $0.02530 per problem |
| Scenario 5 | High-throughput STEM grading engine (500 in, 1.5K thought+out): $0.00715 per submission |
| Scenario 6 | Monthly educational platform run (20M tokens): $38.50 total infrastructure cost |
Configuring reasoning effort ensures deep thinking is only applied when mathematical rigor requires it.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | Low effort (avg 800 reasoning tokens): 65% cost reduction on routine algebraic tasks |
| Scenario 2 | Medium effort (avg 2,200 reasoning tokens): optimal balance for coding challenges |
| Scenario 3 | High effort (avg 6,500 reasoning tokens): maximum accuracy for formal mathematical proofs |
| Scenario 4 | Reasoning token budget caps prevent runaway chain-of-thought execution loops |
| Scenario 5 | Automated effort escalation: low on initial attempt, medium only on failing unit tests |
| Scenario 6 | Reduces average reasoning query spend from $0.03080 to $0.01050 across production fleets |
First-pass correctness on reasoning models often costs less than multi-turn retry loops with standard LLMs.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | Standard model requires 4 retries ($0.024) vs o3-Mini single-shot success ($0.019): o3-Mini wins |
| Scenario 2 | Zero hallucination on complex tax code calculations: eliminates costly manual re-audits |
| Scenario 3 | Automated SQL query generation with zero syntax errors: 99.4% first-run validation rate |
| Scenario 4 | Unit test generation: achieves 94% branch coverage on first generation attempt |
| Scenario 5 | 10K complex engineering queries: $192.50 total spend vs $340.00 multi-step agent loops |
| Scenario 6 | Overall fleet compute efficiency improves by 43% when delegating STEM tasks to o3-Mini |
How fast is o3-Mini?
How much does o3-Mini cost at scale?
| Tokens / month | Est. cost (blended 3:1) |
|---|---|
| 100,000 | $0.19 |
| 1,000,000 | $1.93 |
| 10,000,000 | $19.25 |
| 100,000,000 | $192.50 |
How does o3-Mini compare with other models?
What should you explore next for o3-Mini?
What are common questions about o3-Mini?
Is o3-Mini cheaper than DeepSeek V4 Pro?
o3-Mini costs $1.93/M blended tokens, DeepSeek V4 Pro costs $1.98/M — o3-Mini is cheaper.
How much does 1 million tokens cost with o3-Mini?
At a 3:1 input:output ratio, 1 million blended tokens costs approximately $1.93. Pure input costs $1.10/M; pure output costs $4.40/M.
What does o3-Mini cost at high volume?
At 100 million blended tokens a month, o3-Mini costs approximately $192.50. See the cost-at-scale table below for other volumes.