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Global MMLU Lite

General QA · 2024-12-04

Global MMLU Lite is a Cohere Labs multilingual and multicultural knowledge benchmark. This primary headline uses Artificial Analysis' 16-language aggregate of culturally sensitive and culturally agnostic questions. Google's verified 15-language evaluation and release-card results with unverified language rosters are separate diagnostic identities; their aggregate cohorts are not assumed equivalent.

Top models (higher is better)

ModelScore
Gemini 3.1 Pro Preview93.2
Gemini 3 Flash Preview92.8
Gemini 3 Pro Preview92.2
Opus 4.692.2
Opus 4.591.3
GPT-590.7
GPT-5.190.6
Sonnet 4.690.5
Gemini 2.5 Pro90.3
Qwen3.5 397B A17B90.0
GPT-5.289.8
GPT-5.1-Codex89.7
Grok 489.5
Grok 4.2089.5
GPT-5.4 Mini89.4
Sonnet 4.589.3
Qwen3.5 122B A10B89.1
Gemini 2.5 Flash Preview (09-2025)88.8
DeepSeek-V3.2-Speciale88.4
Nova 2 Pro (Preview)87.6
GPT-5 Mini87.4
Qwen3.5-27B86.8
DeepSeek-V3.2-Exp86.7
DeepSeek-V3.286.5
ERNIE 5.0 Thinking Preview86.5
Qwen3.5 35B A3B86.4
DeepSeek-R1-052886.0
Grok 4 Fast85.9
Grok 4.1 Fast85.6
GLM 4.685.6
Qwen3 Max Preview85.5
Qwen3 235B A22B Thinking 250785.3
GPT-5.1-Codex mini85.0
MiMo-V2-Flash84.4
MiniMax M2.584.2
Kimi K2.584.0
MiniMax M2.184.0
Gemini 2.5 Flash-Lite Preview (09-2025)83.8
Haiku 4.583.4
Qwen3-Max (2025-09-23)83.3
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