llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model DirectoryCompare Models

Scoring & Data

Scoring & Data
393 models668 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll BenchmarksReasoningMath

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai

legal benchmark

OpenAI MMLU Leaderboard

MMLU (Massive Multitask Language Understanding) is a comprehensive benchmark that measures a text model's multitask accuracy across 57 diverse academic and professional subjects. The test covers elementary mathematics, US history, computer science, law, morality, business ethics, clinical knowledge, and many other domains spanning STEM, humanities, social sciences, and professional fields. To attain high accuracy, models must possess extensive world knowledge and problem-solving ability.

Updated Aug 17, 2026

Models2
Model coverage2
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

OpenAI MMLU Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemma 3n E4B InstructedGoogleScore35.6%Percentile100.0%Participants2EvidenceCEvaluatedAug 17, 2026
Rank02ModelGOGemma 3n E2B InstructedGoogleScore22.3%Percentile0.0%Participants2EvidenceCEvaluatedAug 17, 2026

OpenAI MMLU Highlights

The leading models and scores on this benchmark.

Rank #1Gemma 3n E4B Instructed35.6%Rank #2Gemma 3n E2B Instructed22.3%

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.

Ranking basisThis openai mmlu AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    GO
    Gemma 3n E4B InstructedGoogle
    Score
    35.6%
    Speed
    Up to 42 tok/s via Together

    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
    22.3%

    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 35.6%. 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 Instructed35.6% · Up to 42 tok/s via TogetherBenchmark rank #2Gemma 3n E2B Instructed22.3%

What is OpenAI MMLU?

What OpenAI MMLU measures and how its scores work.

MMLU (Massive Multitask Language Understanding) is a comprehensive benchmark that measures a text model's multitask accuracy across 57 diverse academic and professional subjects. The test covers elementary mathematics, US history, computer science, law, morality, business ethics, clinical knowledge, and many other domains spanning STEM, humanities, social sciences, and professional fields. To attain high accuracy, models must possess extensive world knowledge and problem-solving ability.

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
openai-mmlu|llm-stats-current

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 35.6%.

What does OpenAI MMLU measure?

MMLU (Massive Multitask Language Understanding) is a comprehensive benchmark that measures a text model's multitask accuracy across 57 diverse academic and professional subjects. The test covers elementary mathematics, US history, computer science, law, morality, business ethics, clinical knowledge, and many other domains spanning STEM, humanities, social sciences, and professional fields. To attain high accuracy, models must possess extensive world knowledge and problem-solving ability.

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.