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language benchmark

MMLU Chat Leaderboard

MMLU Chat is a chat-format variant of the Massive Multitask Language Understanding benchmark covering 57 academic and professional tasks.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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  • FAQ

MMLU Chat Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelNVLlama 3.1 Nemotron 70B InstructNVIDIAScore80.58%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

MMLU Chat Highlights

The leading models and scores on this benchmark.

Rank #1Llama 3.1 Nemotron 70B Instruct80.58%

The Top AI Models for MMLU Chat

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

Ranking basisThis mmlu chat 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
    NV
    NVIDIA
    Score
    80.58%

    Strengths

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

    Considerations

    • This result measures MMLU Chat, not total model capability

Selection summary

Best AI Models for MMLU Chat

Llama 3.1 Nemotron 70B Instruct currently leads MMLU Chat with 80.58%. 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.

What is MMLU Chat?

What MMLU Chat measures and how its scores work.

MMLU Chat is a language benchmark that evaluates models using a conversational prompting format across 57 tasks, including elementary mathematics, US history, computer science, and law.

It measures model performance with the Score metric, reported as a ratio, across the included tasks.

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

Family
MMLU Chat
Modality
text
Primary category
language
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 MMLU Chat.

Which model scores highest on MMLU Chat?

Llama 3.1 Nemotron 70B Instruct is currently ranked first with 80.58%.

What are the top three models on MMLU Chat?

The current leaders are Llama 3.1 Nemotron 70B Instruct (80.58%).

Which MMLU Chat model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among MMLU Chat 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 MMLU Chat measure?

It measures model performance with the Score metric, reported as a ratio, across the included tasks.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 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.

Llama 3.1 Nemotron 70B Instruct
Benchmark rank #1Llama 3.1 Nemotron 70B Instruct80.58%