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
MMLU (CoT) Ranking
Higher score ranks better on this benchmark.
| 1 | ME | 88.6% | 100.0% | 3 | C | |
| 2 | ME | 86.0% | 50.0% | 3 | C | |
| 3 | ME | 73.0% | 0.0% | 3 | C |
MMLU (CoT) Score Distribution
A closer view of the leading scores on this benchmark.
MMLU (CoT) Highlights
The leading models and scores on this benchmark.
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.