OpenCompass LLM - Average - English (CompassBench 2504): leaderboard

OpenCompass CompassBench 2504 edition (file dated 2025-05-13): 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. 28 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 05-06)73.6#156
2O4 Mini (High)73#185 (O4 Mini)
3Doubao-1.5-thinking-pro-25041572.3#226
4Qwen 3 235B A22B (Thinking)72.2#323 (Qwen 3 235B A22B)
5DeepSeek R171.5#262
6ERNIE-X1-Turbo-32K71.1#288
7Qwen 3 32B (Thinking)70.6#449 (Qwen 3 32B)
8O3 Mini (High)70.2#282 (O3 Mini)
9GLM-Z1-32B-041467.9#405
10Grok 366.6#313
11360Zhinao2-O1.565.7#395
12GPT-4.1 (2025-04-14)65.2#257
13DeepSeek V3 (0324)65.2#349
14Spark X164.6#435
15GPT-4.1 Mini63.9#363

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-2504 · How It Works · Data refreshed daily, snapshot 2026-11-05.