A broad multilingual benchmark row from Qwen's launch comparisons intended to measure cross-lingual capability beyond a single language family.
As of March 2026, Qwen3.5 397B leads the NOVA-63 leaderboard with 59.1% , followed by Qwen3.6 Plus (57.9%) and Claude Opus 4.5 (56.7%).
Qwen3.5 397B
Alibaba
Qwen3.6 Plus
Alibaba
Claude Opus 4.5
Anthropic
According to BenchLM.ai, Qwen3.5 397B leads the NOVA-63 benchmark with a score of 59.1%, followed by Qwen3.6 Plus (57.9%) and Claude Opus 4.5 (56.7%). The top models are clustered within 2.4 points, suggesting this benchmark is nearing saturation for frontier models.
5 models have been evaluated on NOVA-63. The benchmark falls in the Multilingual category. This category carries a 7% weight in BenchLM.ai's overall scoring system. NOVA-63 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Broad multilingual evaluation
Format
Cross-lingual benchmark
Difficulty
Broad multilingual capability
NOVA-63 appears in multilingual comparison tables as a harder broad-language benchmark than standard translated math. BenchLM tracks it as a display-only multilingual capability signal until a cleaner public benchmark specification is available.
Qwen3.6 launch benchmarksVersion
NOVA-63 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A broad multilingual benchmark row from Qwen's launch comparisons intended to measure cross-lingual capability beyond a single language family.
Qwen3.5 397B by Alibaba currently leads with a score of 59.1% on NOVA-63.
5 AI models have been evaluated on NOVA-63 on BenchLM.
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