language benchmark
MT-AIME 2025 Leaderboard
MT-AIME 2025 is Cohere's internal multilingual translation of AIME 2025, evaluated for Arabic, Japanese, and Korean in the Command A+ release.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MT-AIME 2025 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelCO | Score86.00% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
MT-AIME 2025 Highlights
The leading models and scores on this benchmark.
The Top AI Models for MT-AIME 2025
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mt-aime 2025 AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01COCohere
- Score
- 86.00%
- Price
- $2.5 input / $10 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MT-AIME 2025, not total model capability
Selection summary
Best AI Models for MT-AIME 2025
Command A+ currently leads MT-AIME 2025 with 86.00%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is MT-AIME 2025?
What MT-AIME 2025 measures and how its scores work.
MT-AIME 2025 is Cohere's internal multilingual translation of AIME 2025.
It reports a Score in ratio units for Arabic, Japanese, and Korean.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MT-AIME 2025
- 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 MT-AIME 2025.
Which model scores highest on MT-AIME 2025?
Command A+ is currently ranked first with 86.00%.
What are the top three models on MT-AIME 2025?
The current leaders are Command A+ (86.00%).
Which MT-AIME 2025 model has the lowest official input price?
Command A+ has the lowest matched official input price at $2.5 input / $10 output per 1M tokens.
Which models are fastest among MT-AIME 2025 results?
No matched runtime record is currently available.
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.