Skip to main content
BenchLM

MMMLU

We show this table for reference; we do not rank on it.

Data verified 34 confirmed releases in the last 30 daysFollow model changes

A multilingual MMLU-style benchmark reported in provider evaluation tables.

Benchmark score on MMMLU — September 27, 2026

We compile the MMMLU rows from provider self-reports. Interfaze Beta leads the table at 90.9%, followed by Qwen3.7 Max (90.3%) and DeepSeek V4 Pro Base (90.3%). We do not use these results to rank models overall.

1Proprietary

Interfaze Beta

Interfaze

90.9%
Context 1M
2Proprietary

Qwen3.7 Max

Alibaba

90.3%
Overall 63.18Context 1M
3Open weights

DeepSeek V4 Pro Base

DeepSeek

90.3%
Context 1M

7 modelsKnowledgeCurrentDisplay onlyUpdated September 27, 2026

Benchmark score table (7 models)

Score
1
Interfaze BetaInterfaze · Closed
90.9%
2
Qwen3.7 MaxAlibaba · Closed
90.3%
3
DeepSeek V4 Pro BaseDeepSeek · Open weight
90.3%
4
Qwen3.7 PlusAlibaba · Closed
89.0%
5
DeepSeek V4 Flash BaseDeepSeek · Open weight
88.8%
6
K-EXAONE 2.0LG AI Research · Open weight
86.6%
7
Gemma 4 12BGoogle · Open weight
83.4%

Among the reported MMMLU rows, Interfaze Beta is first at 90.9%. The third row is 0.6 points behind. The broader top-10 range is 7.5 points, so many of the published results sit in a relatively narrow band.

7 models have been evaluated on MMMLU. The benchmark falls in the Knowledge category. MMMLU is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About MMMLU

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.

MMMLU

Freshness and provenance

Version

MMMLU 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

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.

Questions

What does MMMLU measure?

A multilingual MMLU-style benchmark reported in provider evaluation tables.

Which model scores highest on MMMLU?

Interfaze Beta by Interfaze currently leads with a score of 90.9% on MMMLU.

How many models are evaluated on MMMLU?

7 AI models have been evaluated on MMMLU on BenchLM.

Compare top models on MMMLU

Interfaze Beta vs Qwen3.7 Max
Last updated: September 27, 2026 · BenchLM version MMMLU 2026

Know when it’s worth switching models

The model to choose, the cheaper alternative, and the release we would wait on.

Read a sample issue

Join 2,000+ readers.

One email each week. Unsubscribe anytime.