WMT24++
WMT24++ is a comprehensive multilingual machine translation benchmark that expands the WMT24 dataset to cover 55 languages and dialects. It includes human-written references and post-edits across four domains (literary, news, social, and speech) to evaluate machine translation systems and large language models across diverse linguistic contexts.
Nemotron 3 Super (120B A12B) from NVIDIA currently leads the WMT24++ leaderboard with a score of 0.867 across 19 evaluated AI models.
Nemotron 3 Super (120B A12B) leads with 86.7%, followed by Nemotron 3 Nano (30B A3B) at 86.2% and 
Qwen3.6 Plus at 84.3%.
Progress Over Time
Interactive timeline showing model performance evolution on WMT24++
WMT24++ Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | 120B | — | — | |||
| 2 | 32B | 262K | $0.06 / $0.24 | |||
| 3 |  Alibaba Cloud / Qwen Team | — | 1.0M | $0.50 / $3.00 | ||
| 4 | Alibaba Cloud / Qwen Team | 397B | 262K | $0.60 / $3.60 | ||
| 5 | Alibaba Cloud / Qwen Team | 122B | 262K | $0.40 / $3.20 | ||
| 6 | Alibaba Cloud / Qwen Team | 27B | 262K | $0.30 / $2.40 | ||
| 7 | Alibaba Cloud / Qwen Team | 35B | 262K | $0.25 / $2.00 | ||
| 8 | Alibaba Cloud / Qwen Team | 9B | — | — | ||
| 9 | Alibaba Cloud / Qwen Team | 4B | — | — | ||
| 10 |  Google | 27B | — | — | ||
| 11 | Google | 12B | — | — | ||
| 12 | Google | 8B | — | — | ||
| 12 | 2B | — | — | |||
| 14 | Google | 4B | — | — | ||
| 15 | Alibaba Cloud / Qwen Team | 2B | — | — | ||
| 16 | Google | 8B | — | — | ||
| 16 | 2B | — | — | |||
| 18 | Google | 1B | — | — | ||
| 19 | Alibaba Cloud / Qwen Team | 800M | — | — |
FAQ
Common questions about WMT24++.
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