AGI-Eval Community - Objective Accuracy (English): 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 English-language item split (_英) 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: Estimated already saturated. 139 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.891.58#39
2Claude Opus 4.691.56#67
3Gemini 3.1 Pro (Preview)91.54#64
4Gemini 3.5 Flash91.42#66
5Seed 2.0 Pro91.19#122
6Claude Fable 591.11#20
7Kimi K2.690.99#113
8Gemini 3 Flash (Preview)90.78#90
9Kimi K390.74#35
10Qwen 3.7 Max90.68#85
11GPT-5.590.65#33
12Seed 2.1 Pro90.63#73
13Gemini 3 Pro (Preview)90.61#71
14Kimi K2.5 (Thinking)90.57#152 (Kimi K2.5)
15GLM-5.290.29#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-english · How It Works · Data refreshed daily, snapshot 2026-11-05.