AA Global-MMLU-Lite - Hindi: leaderboard

Hindi-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)93.67#58
2Claude Opus 4.6 (Max)91.92#63 (Claude Opus 4.6)
3Gemini 3 Pro (Preview) (High)91.33#66 (Gemini 3 Pro (Preview))
4GPT-5 (High)91.08#98 (GPT-5)
5Claude Opus 4.5 (Non-reasoning)91.08#83 (Claude Opus 4.5)
6GPT-5.1 (High)90.75#135 (GPT-5.1)
7GPT-5.1 Codex (High)90.58#159 (GPT-5.1 Codex)
8GPT-5 (Medium)90.33#98 (GPT-5)
9Claude Opus 4.5 (Thinking)90.25#83 (Claude Opus 4.5)
10Grok 4.20 0309 (Reasoning)89.92#112 (Grok 4.20 0309)
11Claude Sonnet 4.5 (Thinking)89.67#142 (Claude Sonnet 4.5)
12GPT-5.2 (Medium)89.5#110 (GPT-5.2)
13Grok 489.33#181
14Claude Sonnet 4.6 (Max)89.33#90 (Claude Sonnet 4.6)
15GPT-5.4 Mini (xHigh)89.25#212 (GPT-5.4 Mini)

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-hindi · How It Works · Data refreshed daily, snapshot 2026-10-20.