AGI-Eval Community - Objective Accuracy (Chinese): leaderboard

AGI-Eval community leaderboard (agi-eval.cn), the private-set LLM board built from the platform's non-public items; latest monthly snapshot. Unrelated to the AGIEval exam dataset. This board is the Chinese-language item split (_中) of the objective accuracy column; the parent column combines both splits. Upstream accuracy 0-1, shown as 0-100; higher is better.

Metric: Accuracy (%). Source: agi-eval.cn. Saturation forecast: Around February 2027. 139 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.584.95#33
2Claude Fable 583.67#20
3Gemini 3.1 Pro (Preview)82.1#64
4Kimi K381.91#35
5Gemini 3.5 Flash80.6#66
6Seed 2.1 Pro80.47#73
7GPT-5.479.68#83
8Qwen 3.7 Max79.26#85
9Claude Opus 4.879.25#39
10DeepSeek V4 Pro (Max)79.17#112 (DeepSeek V4 Pro)
11Seed 2.0 Pro78.9#122
12Kimi K2.678.69#113
13Claude Sonnet 578.07#65
14Claude Opus 4.677.91#67
15GLM-5.277.86#80

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=agi-eval-community-objective-accuracy-chinese · How It Works · Data refreshed daily, snapshot 2026-11-05.