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.
Llama 3.1 405B Instruct from Meta currently leads the MMLU (CoT) leaderboard with a score of 0.886 across 3 evaluated AI models.
Llama 3.1 405B Instruct leads with 88.6%, followed by Llama 3.1 70B Instruct at 86.0% and Llama 3.1 8B Instruct at 73.0%.
Progress Over Time
Interactive timeline showing model performance evolution on MMLU (CoT)
MMLU (CoT) Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | 405B | 128K | $0.89 / $0.89 | |||
| 2 | 70B | 128K | $0.20 / $0.20 | |||
| 3 | 8B | 131K | $0.03 / $0.03 |
FAQ
Common questions about MMLU (CoT).
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