miniF2F
Models write formal proofs of olympiad and high school competition statements, such as AMC, AIME and IMO problems. A proof assistant checks each proof, and scores are pass@k on the 244 test problems.
Statements exist in Lean, Metamath, Isabelle and HOL Light. Labs report pass@1, pass@8 or pass@32.
- Released
- August 2021
- Kind
- Formal proofs
- Level
- Competition
- Scored
- Checked automatically
- Answers
- Written proof
- Tasks
- All public
- Last in a launch post
- July 2026, dropped after it saturated
- Last model added
- July 2026
In the authors’ words
We present miniF2F, a dataset of formal Olympiad-level mathematics problems statements intended to provide a unified cross-system benchmark for neural theorem proving. The miniF2F benchmark currently targets Metamath, Lean, Isabelle (partially) and HOL Light (partially) and consists of 488 problem statements drawn from the AIME, AMC, and the International Mathematical Olympiad (IMO), as well as material from high-school and undergraduate mathematics courses. We report baseline results using GPT-f, a neural theorem prover based on GPT-3 and provide an analysis of its performance. We intend for miniF2F to be a community-driven effort and hope that our benchmark will help spur advances in neural theorem proving.
Leanstral 1.5 leads with 100% among models released by July 2026
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 July 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1
Leanstral 1.5 100%
- 2
Seed-Prover 99.6%
- 3
DeepSeek-Prover-V2-671B 88.9%
- 4
LongCat-Flash-Thinking 81.6%
- 5
Nemotron 3 Nano 30B-A3B 50%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 100% | Jul 2026 | Lab model card | |
| 2 | | 99.6% | Jul 2025 | Lab model card | |
| 3 | | 88.9% | Apr 2025 | Lab model card | |
| 4 | | 81.6% | Sep 2025 | Lab model card | |
| 5 | | 50% | Dec 2025 | Lab model card |
3 models have held number one in labs’ own numbers since 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
DeepSeek’s own number for DeepSeek-Prover-V2-671B passed 85% in April 2025
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs headline it less often now, last in July 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Jul 2, 2026 | 100 | miniF2F test (and validation) 100% | |
| Dec 15, 2025 | 50 | MiniF2F pass@1 | |
| Sep 21, 2025 | 81.6 | Best of MiniF2F-Test Pass@1 67.6 / Pass@8 79.4 / Pass@32 81.6 | |
| Jul 31, 2025 | 99.6 | MiniF2F-test (Medium) | |
| Apr 30, 2025 | 88.9 | MiniF2F-test pass ratio |
4 system cards report it, from 4 labs
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 |
|---|---|---|---|---|
| Jul 2, 2026 | | 99.2 | MiniF2F-test 242/244 with pass@4 and a 2M-token trajectory limit, MiniF2F-valid 244/244 (3.1.1) | Capabilities |
| Dec 23, 2025 | | 50 | MiniF2F pass@1 (Table 3). Pass@32 79.92 | Capabilities |
| Sep 23, 2025 | | 67.6 | MiniF2F-Test(Pass@1), Lean4, 244 problems (Table 2). Pass@8 79.4, Pass@32 81.6 | Capabilities |
| Apr 30, 2025 | | 88.9 | miniF2F-test, CoT, Pass@8192 (Table 1, Table 2). Pass@1 61.9, Pass@32 82.4, Pass@1024 86.6. miniF2F-valid 90.6 with curriculum plus Pass@8192 | Capabilities |
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