A multilingual MMLU-style benchmark reported in provider evaluation tables.
BenchLM mirrors the published score view for MMMLU. Interfaze Beta leads the public snapshot at 90.9% , followed by Qwen3.7 Max (90.3%) and DeepSeek V4 Pro Base (90.3%). BenchLM does not use these results to rank models overall.
Interfaze Beta
Interfaze
Qwen3.7 Max
Alibaba
DeepSeek V4 Pro Base
DeepSeek
The published MMMLU snapshot is tightly clustered at the top: Interfaze Beta sits at 90.9%, while the third row is only 0.6 points behind. The broader top-10 spread is 2.1 points, so many of the published scores sit in a relatively narrow band.
4 models have been evaluated on MMMLU. The benchmark falls in the Knowledge category. This category carries a 12% weight in BenchLM.ai's overall scoring system. MMMLU is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Multilingual academic QA
Format
Exact match
Difficulty
Broad multilingual knowledge
BenchLM stores MMMLU as a display-only provider-table row when exact public values are published.
Version
MMMLU 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A multilingual MMLU-style benchmark reported in provider evaluation tables.
Interfaze Beta by Interfaze currently leads with a score of 90.9% on MMMLU.
4 AI models have been evaluated on MMMLU on BenchLM.
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