llmboard.aiLeaderboard Center
Overall
Overall RankingOpen Models
Tools
Model DirectoryCompare Models
Capabilities
CodingReasoningMathKnowledgeInstruction Following
Price & Efficiency
Price & ValueCapability vs. PriceRuntime Performance
Modalities
Image GenerationVideo GenerationSpeech ModelsEmbeddings
Core Benchmarks
GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-ProView all benchmarks
Methods
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

language benchmark

MMLU (CoT)

Chain-of-Thought variant of the Massive Multitask Language Understanding benchmark, evaluating language models across 57 tasks including elementary mathematics, US history, computer science, law, and other professional and academic subjects. This version uses chain-of-thought prompting to elicit step-by-step reasoning.

Updated Aug 11, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

MMLU (CoT) Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

01MELlama 3.1 405B InstructMeta88.6%100.0%3CAug 11, 2026
02MELlama 3.1 70B InstructMeta86.0%50.0%3CAug 11, 2026
03MELlama 3.1 8B InstructMeta73.0%0.0%3CAug 11, 2026

MMLU (CoT) Score Distribution

A closer view of the leading scores on this benchmark.

MMLU (CoT)

MMLU (CoT) Highlights

The leading models and scores on this benchmark.

Rank #1Llama 3.1 405B Instruct88.6%Rank #2Llama 3.1 70B Instruct86.0%Rank #3Llama 3.1 8B Instruct73.0%

What is MMLU (CoT)?

What MMLU (CoT) measures and how its scores work.

Chain-of-Thought variant of the Massive Multitask Language Understanding benchmark, evaluating language models across 57 tasks including elementary mathematics, US history, computer science, law, and other professional and academic subjects. This version uses chain-of-thought prompting to elicit step-by-step reasoning.

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

Family
MMLU (CoT)
Modality
text
Primary category
language
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
mmlu-(cot)|llm-stats-current

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

FAQ

Common questions about MMLU (CoT).

Which model scores highest on MMLU (CoT)?

Llama 3.1 405B Instruct is currently ranked first with 88.6%.

What does MMLU (CoT) measure?

Chain-of-Thought variant of the Massive Multitask Language Understanding benchmark, evaluating language models across 57 tasks including elementary mathematics, US history, computer science, law, and other professional and academic subjects. This version uses chain-of-thought prompting to elicit step-by-step reasoning.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.