Vals AI ProofBench: leaderboard

Each of 100 problems pairs a natural-language theorem with a vetted Lean 4 statement, across seven areas including measure theory, algebraic geometry and model theory. The model works for up to 40 turns with Mathlib search and Lean execution, then submits once, and the proof counts only if the Lean checker accepts it, with no partial credit. The number is the percentage of problems proved, higher is better.

Metric: Accuracy (%). Source: www.vals.ai. Source: epoch.ai. Saturation forecast: Estimated already saturated. 52 models tracked.

Top models

#ModelScoreOverall rank
1Claude Fable 5.1 (Max)100#9 (Claude Fable 5.1)
2Claude Opus 5.5 (Max)100#3 (Claude Opus 5.5)
3Claude Sonnet 5.5 (Max)100#11 (Claude Sonnet 5.5)
4Claude Opus 5 (Max)99#12 (Claude Opus 5)
5GPT-6 Astra (Max)99#6 (GPT-6 Astra)
6GPT-6.1 Sol99#7
7Gemini 4 Argon99#8
8Claude Fable 5 (Max)95#16 (Claude Fable 5)
9Muse Wonder Full94#10
10Claude Haiku 5.5 (Max)89#40 (Claude Haiku 5.5)
11Kimi K387#30
12Muse Wonder84#15
13GPT-5.6 Sol (Max)83#19 (GPT-5.6 Sol)
14GPT-6 Sol83#14
15Claude Sonnet 5 (Max)77#57 (Claude Sonnet 5)

Interactive version: theaggregate.ai/benchmark?slug=vals-ai-proofbench · How It Works · Data refreshed daily, snapshot 2026-10-20.