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OpenAI MMLU Leaderboard

OpenAI MMLU measures a text model's multitask accuracy across 57 academic and professional subjects.

Updated Sep 5, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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OpenAI MMLU Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemma 3n E4B InstructedGoogleScore35.60%Percentile100.00%Participants2EvidenceCEvaluatedSep 8, 2026
Rank02ModelGOGemma 3n E2B InstructedGoogleScore22.30%Percentile0.00%Participants2EvidenceCEvaluatedSep 8, 2026

OpenAI MMLU Highlights

The leading models and scores on this benchmark.

Rank #1Gemma 3n E4B Instructed35.60%Rank #2Gemma 3n E2B Instructed22.30%

OpenAI MMLU Score Distribution

A closer view of the leading scores on this benchmark.

OpenAI MMLU

The Top AI Models for OpenAI MMLU

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is OpenAI MMLU?

What OpenAI MMLU measures and how its scores work.

MMLU (Massive Multitask Language Understanding) is a benchmark covering 57 subjects across STEM, humanities, social sciences, and professional fields.

It measures multitask accuracy in areas including elementary mathematics, US history, computer science, law, morality, business ethics, and clinical knowledge, with the metric reported as Score in ratio units.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
OpenAI MMLU
Modality
text
Primary category
legal
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about OpenAI MMLU.

Which model scores highest on OpenAI MMLU?

Gemma 3n E4B Instructed is currently ranked first with 35.60%.

What are the top three models on OpenAI MMLU?

The current leaders are Gemma 3n E4B Instructed (35.60%) and Gemma 3n E2B Instructed (22.30%).

Which OpenAI MMLU model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among OpenAI MMLU results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does OpenAI MMLU measure?

It measures multitask accuracy in areas including elementary mathematics, US history, computer science, law, morality, business ethics, and clinical knowledge, with the metric reported as Score in ratio units.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Ranking basisThis openai 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.

  1. 01
    GO
    Gemma 3n E4B InstructedGoogle
    Score
    35.60%

    Strengths

    • Ranks #1 of 2 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures OpenAI MMLU, not total model capability
  2. 02
    GO
    Gemma 3n E2B InstructedGoogle
    Score
    22.30%

    Strengths

    • Ranks #2 of 2 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures OpenAI MMLU, not total model capability

Selection summary

Best AI Models for OpenAI MMLU

Gemma 3n E4B Instructed currently leads OpenAI MMLU with 35.60%. 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.

Benchmark rank #1Gemma 3n E4B Instructed35.60%
Benchmark rank #2Gemma 3n E2B Instructed22.30%