OpenCompass LLM - Average - English (CompassBench 2407): leaderboard

OpenCompass CompassBench 2407 edition (file dated 2024-08-05): 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. 36 models tracked.

Top models

#ModelScoreOverall rank
1Claude 3.5 Sonnet (20240620)70.1#308
2GPT-4o (2024-05-13)68.4#337
3Mistral Large 2 (Jul)64.3#490
4Mistral Large64.2#713
5DeepSeek V2 Chat (0628)61.9#409
6GPT-4o Mini (2024-07-18)61.4#568
7Llama 3.1 70B Instruct60.9#567
8Yi Large57.1#566
9GLM-4 (0520)55.7#612
10Gemma 2 27B (IT)54.1#652
11Qwen 2 72B Instruct53.4#579
12Mixtral 8x22B Instruct50.7#738
13Qwen 1.5 110B Chat50.4#693
14Llama 3.1 8B Instruct48.9#1017
15Yi 1.5 34B Chat48.8#798

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-2407 · How It Works · Data refreshed daily, snapshot 2026-11-05.