FormalProofBench: leaderboard

Metric: Accuracy (%): share of FormalProofBench's 200 private graduate-level problems for which the model, in an agent harness with Mathlib search and Lean execution tools and up to 40 turns, submits a Lean 4 proof the kernel accepts (no new axioms); provider default sampling; higher is better. Source: arxiv.org. Saturation forecast: Around January 2028. 13 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.5 (Thinking)33.5#79 (Claude Opus 4.5)
2Gemini 3 Pro (Preview)18.5#64
3Claude Sonnet 4.5 (Thinking)18#138 (Claude Sonnet 4.5)
4GPT-517#91
5Gemini 3 Flash (Preview)15#78
6GPT-5.213.5#105
7GPT-5 Nano12.5#415
8GPT-5.1 Codex Max12#94
9DeepSeek V3.2 (Non-reasoning)8#198 (DeepSeek V3.2)
10GPT-5 Mini7#176
11GLM-4.74.5#185
12Grok 4.1 Fast (Reasoning)4#208 (Grok 4.1 Fast)
13DeepSeek V3.2 (Thinking)3#198 (DeepSeek V3.2)

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=formalproofbench · How It Works · Data refreshed daily, snapshot 2026-10-11.