OpenCompass LLM - Average - English (CompassBench 2510): leaderboard

OpenCompass CompassBench 2510 edition (file dated 2025-11-10): overall average across the edition's capability categories, English questions. CompassBench is OpenCompass's periodic evaluation of chat models on a private question set; each edition is a separate board. Score 0-100, higher is better.

Metric: Score (%). Source: rank.opencompass.org.cn. Saturation forecast: Estimated already saturated. 27 models tracked.

Top models

#ModelScoreOverall rank
1O3 (2025-04-16) (High)71.1#125 (O3 (2025-04-16))
2GLM-4.671#265
3Qwen 3 235B A22B 2507 (Thinking)69.7#263
4O4 Mini (2025-04-16) (High)69.7#183 (O4 Mini (2025-04-16))
5Claude Sonnet 4.5 (Thinking)69.5#148 (Claude Sonnet 4.5)
6DeepSeek R1 052869.3#232
7Doubao-Seed-1.6-251015 (Thinking)68.8#208 (Doubao-Seed-1.6-251015)
8GPT-OSS-120B (High)68.1#346 (GPT-OSS-120B)
9Grok 467.8#189
10Qwen 3 Next 80B A3B (Thinking)66.9#312
11Gemini 2.5 Pro66.5#159
12Claude Haiku 4.5 (Thinking)65.5#287 (Claude Haiku 4.5)
13Seed-OSS-36B-Instruct65.1#384
14Hunyuan-T1-2025082264.3#306
15DeepSeek V3.2 Exp63.8#241

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

Interactive version: theaggregate.ai/benchmark?slug=opencompass-llm-average-english-compassbench-2510 · How It Works · Data refreshed daily, snapshot 2026-11-05.