math benchmark
Multilingual MGSM (CoT) Leaderboard
Multilingual MGSM (CoT) is a math benchmark containing 250 grade-school math problems manually translated from GSM8K into ten typologically diverse languages, including Bengali and Swahili.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
Multilingual MGSM (CoT) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score91.60% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelME | Score86.90% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelME | Score68.90% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
Multilingual MGSM (CoT) Highlights
The leading models and scores on this benchmark.
Multilingual MGSM (CoT) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Multilingual MGSM (CoT)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is Multilingual MGSM (CoT)?
What Multilingual MGSM (CoT) measures and how its scores work.
Multilingual MGSM (CoT) is the Multilingual Grade School Math benchmark for evaluating language models across ten typologically diverse languages.
It measures language models' chain-of-thought reasoning abilities on grade-school math problems, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Multilingual MGSM (CoT)
- Modality
- text
- Primary category
- math
- 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 Multilingual MGSM (CoT).
Which model scores highest on Multilingual MGSM (CoT)?
Llama 3.1 405B Instruct is currently ranked first with 91.60%.
What are the top three models on Multilingual MGSM (CoT)?
The current leaders are Llama 3.1 405B Instruct (91.60%), Llama 3.1 70B Instruct (86.90%), and Llama 3.1 8B Instruct (68.90%).
Which Multilingual MGSM (CoT) model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among Multilingual MGSM (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.