QuantBench
Models answer 25 multiple choice versions of quant trading firm reasoning puzzles. Scored as cons@16 accuracy.
OpenAI contextual evaluation. Questions come from competitions run by firms such as Jane Street.
- Level
- Competition The strongest students, in olympiad-style contests
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Multiple choice
o1 leads with 60% among models released by Dec 2024
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in Dec 2024, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1 o1 60%
- 2 o1-mini 48%
- 3 o1-preview 36%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | o1 | 60% | Dec 2024 | Model card | |
| 2 | o1-mini | 48% | Sep 2024 | Model card | |
| 3 | o1-preview | 36% | Sep 2024 | Model card |
2 models have held number one since its release in Sep 2024
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
3 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 5 Dec 2024 | o1 system card | 60 | QuantBench, cons@16, o1 (post-mitigation), printed chart label (8.3) | Capabilities |
| 12 Sep 2024 | o1-preview system card | 36 | QuantBench: Multiple-Choice, pass rate cons@16, o1-preview (post-mitigation), printed chart label (8.5) | Capabilities |
| 12 Sep 2024 | o1-mini system card | 48 | QuantBench: Multiple-Choice, pass rate cons@16, o1-mini (post-mitigation), printed chart label (8.5) | Capabilities |
More in Math
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Qwen3.7-Max 86.5%
- USAMO 2026 In use Models write full proofs for the six problems of the 2026 USA Mathematical Olympiad. Judges grade each proof from 0 to 7 against rubrics. GPT-5.5 98.2%