ScienceBoard-Verified - Lean 4: leaderboard

ScienceBoard-Verified scientific computer-use tasks across KAlgebra, Celestia, GRASS GIS, ChimeraX, Lean 4 and TeXstudio; source success rate, with Average the unweighted mean of six applications. Model-based API harness uses the latest three steps plus the current screenshot/accessibility tree; native Grok Build/Codex maintain persistent per-task sessions, with web search disabled. Resource construction and harness identities remain separate run configurations. Lean 4.

Metric: Success rate (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 46 models tracked.

Top models

#ModelScoreOverall rank
1Qwen-3.8 Max (xhigh) (ScienceCUA Run: harness=model-based; resource=skillfoundry)34.62
2GPT-5.5 (xhigh) (ScienceCUA Run: harness=model-based; resource=Full%20ScienceCUA; evolution=108%20additional%20tasks%3B%20frozen%20library)34.62
3GPT-5.5 (xhigh) (ScienceCUA Run: harness=model-based; resource=SkillCAT; evolution=108%20additional%20tasks%3B%20frozen%20library)34.62
4Qwen-3.8 Max (xhigh) (ScienceCUA Run: harness=model-based; resource=Vanilla)30.77
5Qwen-3.8 Max (xhigh) (ScienceCUA Run: harness=model-based; resource=RAG)30.77
6Qwen-3.8 Max (xhigh) (ScienceCUA Run: harness=model-based; resource=visualskill)30.77
7Qwen-3.8 Max (xhigh) (ScienceCUA Run: harness=model-based; resource=ScienceCUA)30.77
8GPT-5.5 (xhigh) (ScienceCUA Run: harness=model-based; resource=RAG)30.77
9Grok-4.6 (xhigh) (ScienceCUA Run: harness=Grok%20Build; resource=skillfoundry)30.77
10GPT-5.5 (xhigh) (ScienceCUA Run: harness=Codex; resource=Vanilla)30.77

Interactive version: theaggregate.ai/benchmark?slug=scienceboard-verified-lean-4 · How It Works · Data refreshed daily, snapshot 2026-11-05.