OpenCompass LLM - Average - English (CompassBench 2409): leaderboard

OpenCompass CompassBench 2409 edition (file dated 2024-10-09): 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. 30 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2.5 72B Instruct72.4#469
2Claude 3.5 Sonnet (20240620)71.4#308
3GPT-4o (2024-05-13)68.3#337
4Mistral Large 2 (Jul)68.2#490
5Step 2 16K66.8#442
6Llama 3.1 405B Instruct FP865.6#400
7DeepSeek V2.565#494
8GPT-4o (2024-08-06)64.9#343
9GLM-4 Plus64.9#398
10Llama 3.1 70B Instruct62.8#567
11Qwen 2.5 7B Instruct60.7#863
12Gemini 1.5 Pro60.3#454
13GPT-4o Mini (2024-07-18)59.7#568
14Yi Large58#566
15Mistral-Small-Instruct-240956.8#709

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-2409 · How It Works · Data refreshed daily, snapshot 2026-11-05.