OpenCompass LLM - Average (CompassBench 2409): leaderboard

OpenCompass CompassBench 2409 edition (file dated 2024-10-09): overall average across the edition's capability categories. 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 Instruct70.3#469
2Claude 3.5 Sonnet (20240620)68.9#308
3GPT-4o (2024-05-13)67.2#337
4Step 2 16K65.7#442
5Mistral Large 2 (Jul)65.4#490
6GLM-4 Plus65.2#398
7DeepSeek V2.564.2#494
8GPT-4o (2024-08-06)63.6#343
9Gemini 1.5 Pro60#454
10GPT-4o Mini (2024-07-18)58.7#568
11Llama 3.1 405B Instruct FP858.7#400
12ERNIE-4.0-Turbo-8K-Preview57.3#603
13Qwen 2.5 7B Instruct57.2#863
14Yi Large56.7#566
15Llama 3.1 70B Instruct55.3#567

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