OpenAI·released 2025-01-311 source
o3-mini benchmark scores: 20 benchmarks tracked. 20% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 20 benchmarks·best result 96.49 on MATH level 5 (reproduced)·4 of 20 independently reproduced·$1.1/$4.4 per M tokens
Consensus: LiteLLM · Cross-check: models.dev, OpenRouter · See every model’s pricing →
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| MATH level 5 | 96.49accuracy (%) | reproduced· optimizedT1 | 2025-01-31Epoch AI |
| OTIS Mock AIME 2024-2025 | 76.92accuracy (%) | reproduced· optimizedT1 | 2025-01-31Epoch AI |
| GPQA diamond | 69.36accuracy (%) | reproduced· optimizedT1 | 2025-01-31Epoch AI |
| Lech Mazur Writing | 61.7accuracy (%) | unverifiedT1 | 2025-01-31lechmazur/writing Github repository |
| Aider polyglot | 60.4accuracy (%) | unverified· optimizedT1 | 2025-01-31https://aider.chat/docs/leaderboards/ |
| CadEval | 54accuracy (%) | unverifiedT1 | 2025-01-31CadEval Dashboard |
| Fiction.LiveBench | 50accuracy (%) | unverifiedT1 | 2025-01-31Fiction.live leaderboard |
| DTBench | 48accuracy (%) | unverifiedT1 | 2025-01-31https://conceptualreasoning.ai/dtbench |
| WeirdML | 43.7accuracy (%) | unverifiedT1 | 2025-01-31https://htihle.github.io/weirdml.html |
| ARC-AGI | 34.5accuracy (%) | unverified· optimizedT1 | 2025-01-31ARC Prize Leaderboard |
| Cybench | 22.5accuracy (%) | unverified· optimizedT1 | 2025-01-31Cybench leaderboard |
| LMCA | 22.32accuracy (%) | unverifiedT1 | 2025-01-31https://conceptualreasoning.ai/lmca |
| FrontierMath-Tiers-1-3-v2-Private | 18.6accuracy (%) | unverifiedT2 | 2025-01-31 |
| SimpleQA Verified | 15.3accuracy (%) | unverifiedT2 | 2025-01-31 |
| Chess Puzzles | 10.56accuracy (%) | unverifiedT2 | 2025-01-31 |
| SimpleBench | 7.36accuracy (%) | unverifiedT1 | 2025-01-31SimpleBench Leaderboard |
| ARC-AGI-2 | 2.99accuracy (%) | unverifiedT2 | 2025-01-31 |
| GSO-Bench | 1.3accuracy (%) | unverifiedT1 | 2025-01-31GSO Leaderboard |
| FrontierMath-Tier-4-v2-Private | 0accuracy (%) | reproducedT1 | 2025-01-31Epoch AI |
| Mystery Game Puzzles | 0accuracy (%) | unverifiedT2 | 2025-01-31 |
Claims drawn from cited facts, not live model generation.
This model was developed by OpenAI and released in 2025.
2 cited facts
This model has scores on 20 tracked benchmarks and currently leads 0 of them. The record’s evidence status is independently reproduced.
3 cited facts
Its mean gap to the best recorded score across its tracked benchmarks is 54.61 points.
1 cited fact
6 facts cross-checked across data sources: 3 corroborated, 1 single-source, 2 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks, litellm_prices, modelsdev_models, openrouter_models
o3-mini is an AI model developed by OpenAI, released 2025-01-31. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
o3-mini has recorded scores on 20 benchmarks, each shown with its evidence status.
o3-mini has recorded scores on 20 benchmarks — Lech Mazur Writing, GPQA diamond, MATH level 5, OTIS Mock AIME 2024-2025, DTBench, WeirdML, and 14 more. The full table above shows each score with its evidence status.
4 of 20 recorded scores (20%) are independently reproduced rather than self-reported by the lab.
o3-mini has 20 tracked claims: 4 independently reproduced, 16 unverified.
Listed API pricing: $1.1 per million input tokens, $4.4 per million output tokens. See the pricing block for the full breakdown.