Multilingual MGSM (CoT)
Multilingual Grade School Math (MGSM) benchmark evaluates language models' chain-of-thought reasoning abilities across ten typologically diverse languages. Contains 250 grade-school math problems manually translated from GSM8K dataset into languages including Bengali and Swahili.
Llama 3.1 405B Instruct from Meta currently leads the Multilingual MGSM (CoT) leaderboard with a score of 0.916 across 3 evaluated AI models.
Llama 3.1 405B Instruct leads with 91.6%, followed by Llama 3.1 70B Instruct at 86.9% and Llama 3.1 8B Instruct at 68.9%.
Progress Over Time
Interactive timeline showing model performance evolution on Multilingual MGSM (CoT)
Multilingual MGSM (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 Multilingual MGSM (CoT).
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