language benchmark
MMLU (CoT) Leaderboard
MMLU (CoT) is a Chain-of-Thought variant of the Massive Multitask Language Understanding benchmark covering 57 academic and professional tasks.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
MMLU (CoT) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score88.60% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelME | Score86.00% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelME | Score73.00% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
MMLU (CoT) Highlights
The leading models and scores on this benchmark.
MMLU (CoT) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MMLU (CoT)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is MMLU (CoT)?
What MMLU (CoT) measures and how its scores work.
MMLU (CoT) is a language benchmark that evaluates models across 57 tasks, including elementary mathematics, US history, computer science, law, and other professional and academic subjects, using chain-of-thought prompting.
It measures Score as a ratio across the 57 tasks.
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
- No
- Evaluation key
- overall
LLM Stats. 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 88.60%.
What are the top three models on MMLU (CoT)?
The current leaders are Llama 3.1 405B Instruct (88.60%), Llama 3.1 70B Instruct (86.00%), and Llama 3.1 8B Instruct (73.00%).
Which MMLU (CoT) model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among MMLU (CoT) results?
The fastest matched records are Llama 3.1 8B Instruct (2,047.00 tok/s via Cerebras), Llama 3.1 70B Instruct (1,204.00 tok/s via Cerebras), and Llama 3.1 405B Instruct (42.00 tok/s via Google).
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.