general benchmark
NOVA-63 is a multilingual evaluation benchmark covering 63 languages and assessing LLM performance across diverse linguistic contexts and tasks.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score59.10% | Percentile100.00% | Participants11 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score59.00% | Percentile90.00% | Participants11 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score58.80% | Percentile80.00% | Participants11 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score58.60% | Percentile70.00% | Participants11 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score58.10% | Percentile60.00% | Participants11 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score57.90% | Percentile50.00% | Participants11 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score57.10% | Percentile40.00% | Participants11 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score55.90% | Percentile30.00% | Participants11 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score54.30% | Percentile20.00% | Participants11 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score46.40% | Percentile10.00% | Participants11 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score42.40% | Percentile0.00% | Participants11 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What NOVA-63 measures and how its scores work.
NOVA-63 is a general multilingual evaluation benchmark covering 63 languages.
NOVA-63 measures LLM performance across diverse linguistic contexts and tasks using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about NOVA-63.
Qwen3.5-397B-A17B is currently ranked first with 59.10%.
The current leaders are Qwen3.5-397B-A17B (59.10%), Qwen3.7 Max (59.00%), and Qwen3.7-Plus (58.80%).
Qwen3.5-35B-A3B has the lowest matched official input price at $0.25 input / $2.0 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
NOVA-63 measures LLM performance across diverse linguistic contexts and tasks using the Score metric, reported as a ratio.
Yes. Higher values rank better for this benchmark.
11 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis nova-63 AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Qwen3.5-397B-A17B currently leads NOVA-63 with 59.10%. 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.