general benchmark
NOVA-63 Leaderboard
NOVA-63 is a multilingual evaluation benchmark covering 63 languages, designed to assess LLM performance across diverse linguistic contexts and tasks.
Updated Aug 17, 2026
Models11
Model coverage11
MetricScore
EvidenceB
NOVA-63 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score59.1% | Percentile100.0% | Participants11 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score59.0% | Percentile90.0% | Participants11 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score58.8% | Percentile80.0% | Participants11 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score58.6% | Percentile70.0% | Participants11 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score58.1% | Percentile60.0% | Participants11 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score57.9% | Percentile50.0% | Participants11 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score57.1% | Percentile40.0% | Participants11 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score55.9% | Percentile30.0% | Participants11 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score54.3% | Percentile20.0% | Participants11 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score46.4% | Percentile10.0% | Participants11 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score42.4% | Percentile0.0% | Participants11 | EvidenceC | Evaluated |
NOVA-63 Highlights
The leading models and scores on this benchmark.
NOVA-63 Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for NOVA-63
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis nova-63 AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACQwen3.5-397B-A17BAlibaba Cloud / Qwen Team
- Score
- 59.1%
- Price
- $0.60 input / $3.6 output per 1M tokens
Strengths
- Ranks #1 of 11 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures NOVA-63, not total model capability
- 02ACQwen3.7 MaxAlibaba Cloud / Qwen Team
- Score
- 59.0%
- Price
- $2.5 input / $7.5 output per 1M tokens
- Speed
- Up to 5.8 tok/s via Together
Strengths
- Ranks #2 of 11 compared models
- 90th percentile on this benchmark
- C evidence result
Considerations
- This result measures NOVA-63, not total model capability
- 03ACQwen3.7-PlusAlibaba Cloud / Qwen Team
- Score
- 58.8%
- Price
- $0.50 input / $3.0 output per 1M tokens
Strengths
- Ranks #3 of 11 compared models
- 80th percentile on this benchmark
- C evidence result
Considerations
- This result measures NOVA-63, not total model capability
- 04ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team
- Score
- 58.6%
- Price
- $0.40 input / $3.2 output per 1M tokens
Strengths
- Ranks #4 of 11 compared models
- 70th percentile on this benchmark
- C evidence result
Considerations
- This result measures NOVA-63, not total model capability
- 05ACQwen3.5-27BAlibaba Cloud / Qwen Team
- Score
- 58.1%
- Price
- $0.30 input / $2.4 output per 1M tokens
- Speed
- Up to 6.7 tok/s via Novita
Strengths
- Ranks #5 of 11 compared models
- 60th percentile on this benchmark
- C evidence result
Considerations
- This result measures NOVA-63, not total model capability
Selection summary
Best AI Models for NOVA-63
Qwen3.5-397B-A17B currently leads NOVA-63 with 59.1%. 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.
What is NOVA-63?
What NOVA-63 measures and how its scores work.
NOVA-63 is a multilingual evaluation benchmark covering 63 languages, designed to assess LLM performance across diverse linguistic contexts and tasks.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- NOVA-63
- Modality
- text
- Primary category
- general
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- nova-63|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about NOVA-63.
Which model scores highest on NOVA-63?
Qwen3.5-397B-A17B is currently ranked first with 59.1%.
What does NOVA-63 measure?
NOVA-63 is a multilingual evaluation benchmark covering 63 languages, designed to assess LLM performance across diverse linguistic contexts and tasks.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
11 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.