FormalTCS - Theorem Elicitation: leaderboard
Metric: LLM-rubric score (0-100) from a Qwen3.8-Max judge in QoderCLI, a model outside the evaluated families, weighted 0.4 logical validity, 0.3 completeness, 0.2 correctness and 0.1 clarity; one deterministic generation; natural-language theorem written from the core claim; 143 instances from theoretical computer science papers accepted at STOC, FOCS, SODA, COLT and similar venues in 2025-2026, each stage given the human-annotated input; each model runs in its own vendor harness. Source: arxiv.org. Saturation forecast: Around February 2027. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.6 Sol (Codex) | 67.4 |
| 2 | Claude Opus 5 (Claude Code) | 66.9 |
| 3 | Claude Sonnet 5 (Claude Code) | 63 |
| 4 | Claude Haiku 4.5 (Claude Code) | 48.7 |
Interactive version: theaggregate.ai/benchmark?slug=formaltcs-theorem-elicitation · How It Works · Data refreshed daily, snapshot 2026-09-26.