Automated page. Written and translated automatically by AI and checked against the sources by software; no human editor. SI-IQ is an index built from public benchmark results, not an IQ test. How it works
How smart is o1-mini?
o1-mini is a model from OpenAI, released on Sep 12, 2024. Its SI-IQ is 92 (90% interval 87–96), estimated from 4 benchmark results by 2 evaluators.
Data as of Oct 18, 2026 · method 1.0.0
A model is ranked when its results come from at least 5 benchmarks (the two GPQA Diamond runs count as one) in at least 3 areas, from at least 2 different evaluators, and its versions are released no more than 60 days apart. This model does not meet that yet (results from fewer than 5 benchmarks). Its provisional estimate rests on 4 benchmark results and can change a lot when more results arrive.
Facts
- Developer
- OpenAI
- Released
- Sep 12, 2024
- Access
- API access
- Benchmarks used
- 4 benchmark results from 2 evaluators
Ability by area (SI-IQ, 90% interval)
Every benchmark result we used
Each score is one value exactly as the source published it: for Epoch AI the best of its run settings, for OpenRouter the median hosting provider (the developer's own hosting when it ran the test). “Implied SI-IQ” is the ability that this single result points to; the overall SI-IQ is their precision-weighted average.
| Benchmark | Score | Evaluated by | Source |
|---|---|---|---|
| MATH Level 5 | 89.2% | Epoch AI | Epoch AI Benchmarking Hub · data file |
| OTIS Mock AIME 2024–2025 | 46.9% | Epoch AI | Epoch AI Benchmarking Hub · data file |
| Aider Polyglot | 32.9% | Aider | Aider LLM Leaderboards · data file |
| GPQA Diamond | 62.4% | Epoch AI | Epoch AI Benchmarking Hub · data file |
Human preference (Arena)
On the Arena leaderboard, where people vote between two anonymous answers, o1-mini has a rating of 1,337 (1,333–1,340) from 51,981 votes (published Oct 15, 2026). Human preference is a different measure from benchmark ability and is not part of SI-IQ. Arena (Hugging Face)
Computed with SI-IQ method version 1.0.0. Read the full methodology
Data sources: Aider polyglot leaderboard data (Apache-2.0); Arena leaderboard dataset on Hugging Face (CC BY 4.0); Epoch AI, ‘Capabilities & benchmarking’ (CC BY 4.0) (licences and changes).