LLMConfBench: leaderboard

Mean reliable-pair Kendall tau at a 2.0 kcal/mol energy-gap threshold, averaged over three prompt presentations then molecules. Most models cover 27 molecules; Qwen 2.5 32B and Qwen 3 32B cover 25 and 26. Source reasoning settings and Ollama identities are preserved; classical force-field reference rows are not LLMs.

Metric: Conformer Ranking Accuracy (mean reliable-pair Kendall tau). Source: arxiv.org. Saturation forecast: Around August 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (High)0.67#6 (GPT-6 Astra)
2Claude Opus 5 (High)0.61#16 (Claude Opus 5)
3Gemini 3.6 Flash (High)0.43#57 (Gemini 3.6 Flash)
4GPT-5.6 Sol (High)0.4#22 (GPT-5.6 Sol)
5Kimi K3 (High)0.38#35 (Kimi K3)
6Claude Sonnet 5 (High)0.37#65 (Claude Sonnet 5)
7DeepSeek V4 Flash (0731) (High)0.33#84 (DeepSeek V4 Flash (0731))
8Gemini 3 Flash (Preview) (High)0.32#90 (Gemini 3 Flash (Preview))
9Qwen 3.7 Max (Thinking)0.32#85 (Qwen 3.7 Max)
10GPT-5 (High)0.3#105 (GPT-5)
11Muse Glimmer 30B (High)0.3#191 (Muse Glimmer 30B)
12Kimi K2 (Thinking)0.27#252 (Kimi K2)
13Gemma 4 31B (High)0.27#212 (Gemma 4 31B)
14Claude Sonnet 4.5 (Thinking)0.14#148 (Claude Sonnet 4.5)
15DeepSeek V3.2 (Thinking)0.14#210 (DeepSeek V3.2)

No result here: #3 Claude Opus 5.5, #7 GPT-6.1 Sol, #9 Gemini 4 Argon.

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