A broad multilingual benchmark row from Qwen's launch comparisons intended to measure cross-lingual capability beyond a single language family.
BenchLM mirrors the published score view for NOVA-63. Qwen3.5 397B leads the public snapshot at 59.1% , followed by Qwen3.6 Plus (57.9%) and Claude Opus 4.5 (56.7%). BenchLM does not use these results to rank models overall.
Qwen3.5 397B
Alibaba
Qwen3.6 Plus
Alibaba
Claude Opus 4.5
Anthropic
The published NOVA-63 snapshot is tightly clustered at the top: Qwen3.5 397B sits at 59.1%, while the third row is only 2.4 points behind. The broader top-10 spread is 4.0 points, so many of the published scores sit in a relatively narrow band.
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.
Version
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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