NOVA-63
NOVA-63 is a multilingual evaluation benchmark covering 63 languages, designed to assess LLM performance across diverse linguistic contexts and tasks.
Qwen3.5-397B-A17B from Alibaba Cloud / Qwen Team currently leads the NOVA-63 leaderboard with a score of 0.591 across 10 evaluated AI models.
What NOVA-63 measures
NOVA-63 is a text benchmark that evaluates large language models on general tasks. LLM Stats tracks 10 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.5, with the leader reaching 0.6.
Compare leaders on the best AI for general leaderboards.
Qwen3.5-397B-A17B leads with 59.1%, followed by Qwen3.7 Max at 59.0% and Qwen3.5-122B-A10B at 58.6%.
Progress Over Time
Interactive timeline showing model performance evolution on NOVA-63
NOVA-63 Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 397B | 262K | $0.60 / $3.60 | ||
| 2 | Alibaba Cloud / Qwen Team | — | 1.0M | $1.25 / $3.75 | ||
| 3 | Alibaba Cloud / Qwen Team | 122B | 262K | $0.40 / $3.20 | ||
| 4 | Alibaba Cloud / Qwen Team | 27B | 262K | $0.30 / $2.40 | ||
| 5 | Alibaba Cloud / Qwen Team | — | 1.0M | $0.50 / $3.00 | ||
| 6 | Alibaba Cloud / Qwen Team | 35B | 262K | $0.25 / $2.00 | ||
| 7 | Alibaba Cloud / Qwen Team | 9B | — | — | ||
| 8 | Alibaba Cloud / Qwen Team | 4B | — | — | ||
| 9 | Alibaba Cloud / Qwen Team | 2B | — | — | ||
| 10 | Alibaba Cloud / Qwen Team | 800M | — | — |
FAQ
Common questions about NOVA-63.
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