OpenCompass LLM - Average (CompassBench 2604): leaderboard

OpenCompass CompassBench 2604 edition (file dated 2026-05-13): 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: Around March 2027. 23 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 (2026-03-05) (High)67.3#63 (GPT-5.4 (2026-03-05))
2DeepSeek V4 Pro65.1#112
3Claude Opus 4.7 (High)64#51 (Claude Opus 4.7)
4Doubao-Seed-2-0-Pro-260215 (High)63.5
5Kimi K2.663.4#113
6Gemini 3.1 Pro (Preview)63.2#64
7Qwen 3.6 Max Preview60.8#91
8DeepSeek V4 Flash60.4#155
9GLM-5.159#109
10Qwen 3.5 397B A17B57.5#154
11Claude Sonnet 4.6 (High)57.5#94 (Claude Sonnet 4.6)
12Hy3-preview (High)56.5#166 (Hy3-preview)
13MiniMax-M2.753.7#270
14Step 3.5 Flash52.9#281
15Gemma 4 31B (IT)52.4#178

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-2604 · How It Works · Data refreshed daily, snapshot 2026-11-05.