CLBench - Rule System Application: leaderboard

CL-bench (context learning) category 'Rule System Application': tasks that require applying a rule system supplied in a professional context the model has to learn from. Solving rate in percent (published as a 0-1 fraction), higher is better; labels keep the reasoning effort the source records.

Metric: Solving Rate (%). Source: www.clbench.com. Saturation forecast: Around 2030. 36 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 (xHigh)26.7#83 (GPT-5.4)
2GPT-5.1 (High)23.7#145 (GPT-5.1)
3Grok 4.20 (Reasoning)22.7#179 (Grok 4.20)
4Hy3-preview21.6#166
5Claude Opus 4.621.4#67
6GPT-5.121#145
7Seed 2.0 Pro (High)20.7#122 (Seed 2.0 Pro)
8Gemini 3.1 Pro (Preview) (High)20.2#64 (Gemini 3.1 Pro (Preview))
9Qwen 3.6 Plus19.6#124
10Seed 2.0 Pro (Medium)19.3#122 (Seed 2.0 Pro)
11Claude Opus 4.519.1#87
12Claude Opus 4.5 (Thinking)19#87 (Claude Opus 4.5)
13Qwen 3.5 Plus (Thinking)18.9#133 (Qwen 3.5 Plus)
14GPT-5.218#115
15Kimi K2.517.9#152

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

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