CLBench - Domain Knowledge Reasoning: leaderboard

CL-bench (context learning) category 'Domain Knowledge Reasoning': tasks that require reasoning with domain knowledge 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 2031. 36 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 (xHigh)28.8#83 (GPT-5.4)
2GPT-5.1 (High)25.3#145 (GPT-5.1)
3Hy3-preview25.2#166
4Grok 4.20 (Reasoning)23.9#179 (Grok 4.20)
5Claude Opus 4.5 (Thinking)23.7#87 (Claude Opus 4.5)
6GPT-5.122.4#145
7Qwen 3.6 Plus22.2#124
8Qwen 3.5 Plus (Thinking)22#133 (Qwen 3.5 Plus)
9Gemini 3.1 Pro (Preview) (High)21.1#64 (Gemini 3.1 Pro (Preview))
10Claude Opus 4.521#87
11Seed 2.0 Pro (High)21#122 (Seed 2.0 Pro)
12Kimi K2.520.8#152
13GLM-520.8#149
14Claude Opus 4.620.4#67
15Seed 2.0 Pro (Medium)20.1#122 (Seed 2.0 Pro)

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

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