CLBench - Procedural Task Execution: leaderboard

CL-bench (context learning) category 'Procedural Task Execution': tasks that require executing a procedure 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)30.1#83 (GPT-5.4)
2Claude Opus 4.624.4#67
3Gemini 3.1 Pro (Preview) (High)23.8#64 (Gemini 3.1 Pro (Preview))
4GPT-5.1 (High)23.8#145 (GPT-5.1)
5Grok 4.20 (Reasoning)23.4#179 (Grok 4.20)
6GPT-5.122.8#145
7Claude Opus 4.5 (Thinking)22.6#87 (Claude Opus 4.5)
8Hy3-preview22.3#166
9GLM-521.6#149
10GPT-5.2 (High)21.4#115 (GPT-5.2)
11Seed 2.0 Pro (High)21.4#122 (Seed 2.0 Pro)
12Qwen 3.6 Plus21.3#124
13Kimi K2.519.5#152
14Claude Opus 4.519.5#87
15O3 (High)19.5#132 (O3)

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

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