AA Global-MMLU-Lite - Yoruba: leaderboard

Yoruba-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: Around January 2027. 111 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)88.75#58
2Gemini 3 Pro (Preview) (High)86.25#66 (Gemini 3 Pro (Preview))
3Claude Opus 4.6 (Max)83.5#63 (Claude Opus 4.6)
4Claude Opus 4.5 (Thinking)83#83 (Claude Opus 4.5)
5GPT-5 (High)82.83#98 (GPT-5)
6Gemini 2.5 Pro81.42#152
7GPT-5.1 (High)81.42#135 (GPT-5.1)
8GPT-5 (Medium)80.67#98 (GPT-5)
9Claude Opus 4.5 (Non-reasoning)80.67#83 (Claude Opus 4.5)
10Qwen 3.5 397B A17B (Reasoning)80.58#146 (Qwen 3.5 397B A17B)
11GPT-5.1 Codex (High)79.75#159 (GPT-5.1 Codex)
12Claude Sonnet 4.6 (Max)79.58#90 (Claude Sonnet 4.6)
13Grok 478.5#181
14GPT-5.2 (Medium)78.08#110 (GPT-5.2)
15GPT-5.4 Mini (xHigh)78#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-yoruba · How It Works · Data refreshed daily, snapshot 2026-10-20.