AA Global-MMLU-Lite - Bengali: leaderboard

Bengali-language slice of Artificial Analysis Global-MMLU-Lite, evaluating MMLU-style knowledge and reasoning across STEM, humanities, and social-science subjects.

Metric: Accuracy (%). Source: artificialanalysis.ai. Saturation forecast: Estimated already saturated. 111 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)92.17#58
2Claude Opus 4.6 (Max)92.08#63 (Claude Opus 4.6)
3GPT-5 (High)91.33#98 (GPT-5)
4Gemini 3 Pro (Preview) (High)91.33#66 (Gemini 3 Pro (Preview))
5GPT-5.2 (Medium)90.92#110 (GPT-5.2)
6GPT-5.1 (High)90.92#135 (GPT-5.1)
7Claude Sonnet 4.6 (Max)90.92#90 (Claude Sonnet 4.6)
8GPT-5 (Medium)90.75#98 (GPT-5)
9Claude Opus 4.5 (Thinking)90.58#83 (Claude Opus 4.5)
10Gemini 2.5 Pro90.08#152
11Claude Sonnet 4.5 (Thinking)90.08#142 (Claude Sonnet 4.5)
12GPT-5.1 Codex (High)89.92#159 (GPT-5.1 Codex)
13Claude Opus 4.5 (Non-reasoning)89.75#83 (Claude Opus 4.5)
14GPT-5.4 Mini (xHigh)89.42#212 (GPT-5.4 Mini)
15Grok 489.08#181

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

Interactive version: theaggregate.ai/benchmark?slug=aa-global-mmlu-lite-bengali · How It Works · Data refreshed daily, snapshot 2026-10-20.