language benchmark
Global-MMLU is a multilingual language benchmark covering 42 languages with culturally sensitive question subsets and improved translation quality.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXI | Score83.60% | Percentile100.00% | Participants5 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score60.30% | Percentile75.00% | Participants5 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score60.30% | Percentile50.00% | Participants5 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score55.10% | Percentile25.00% | Participants5 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score55.10% | Percentile0.00% | Participants5 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What Global-MMLU measures and how its scores work.
Global-MMLU is a language benchmark covering 42 languages that addresses cultural and linguistic biases in evaluation.
It measures performance using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Global-MMLU.
MiMo-V2.5-Pro is currently ranked first with 83.60%.
The current leaders are MiMo-V2.5-Pro (83.60%), Gemma 3n E4B Instructed (60.30%), and Gemma 3n E4B Instructed LiteRT Preview (60.30%).
MiMo-V2.5-Pro has the lowest matched official input price at $0.44 input / $0.87 output per 1M tokens.
The fastest matched records are MiMo-V2.5-Pro (5.27 tok/s via DeepInfra).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures performance using the Score metric, reported as a ratio.
Yes. Higher values rank better for this benchmark.
5 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis global-mmlu AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
MiMo-V2.5-Pro currently leads Global-MMLU with 83.60%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.