NOVA-63
NOVA-63 is a multilingual evaluation benchmark covering 63 languages, designed to assess LLM performance across diverse linguistic contexts and tasks.
15rows
scoreprimary metric
2026-05-28sampled
Metadata
Metrics
Score, Normalized Score
Showing 2 latest source slices.
| Rank | Subject | Score | Model Match | Provenance | Sampled |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.6 Max | 59.1% |  Claude Opus 4.6 anthropic-claude-opus-4.6 | Self-reported | 2026-05-28 |
| 2 | Qwen3.7 Max | 59% |  Qwen3.7 Max qwen-qwen3.7-max | Self-reported | 2026-05-28 |
| 3 | Qwen3.6 Plus | 57.9% | Qwen3.6 Plus qwen-qwen3.6-plus | Self-reported | 2026-05-28 |
| 4 | Kimi K2.6 Thinking | 56.7% | MoonshotAI: Kimi K2.6 moonshotai-kimi-k2.6 | Self-reported | 2026-05-28 |
| 5 | GLM-5.1 Thinking | 54.6% | GLM 5.1 z-ai-glm-5.1 | Self-reported | 2026-05-28 |
| 6 | DeepSeek V4 Pro Max | 52.8% |  DeepSeek V4 Pro deepseek-deepseek-v4-pro | Self-reported | 2026-05-28 |
| 1 | Qwen3.5-397B-A17B | 0.59 | Qwen3.5 397B A17B qwen-qwen3.5-397b-a17b | Self-reported | 2026-05-06 |
| 2 | Qwen3.5-122B-A10B | 0.59 | Qwen3.5-122B-A10B qwen-qwen3.5-122b-a10b | Self-reported | 2026-05-06 |
| 3 | Qwen3.5-27B | 0.58 | Qwen3.5-27B qwen-qwen3.5-27b | Self-reported | 2026-05-06 |
| 4 | Qwen3.6 Plus | 0.58 | Qwen3.6 Plus qwen-qwen3.6-plus | Self-reported | 2026-05-06 |
| 5 | Qwen3.5-35B-A3B | 0.57 | Qwen3.5-35B-A3B qwen-qwen3.5-35b-a3b | Self-reported | 2026-05-06 |
| 6 | Qwen3.5-9B | 0.56 | Qwen3.5-9B qwen-qwen3.5-9b | Self-reported | 2026-05-06 |
| 7 | Qwen3.5-4B | 0.54 | — | Self-reported | 2026-05-06 |
| 8 | Qwen3.5-2B | 0.46 | — | Self-reported | 2026-05-06 |
| 9 | Qwen3.5-0.8B | 0.42 | — | Self-reported | 2026-05-06 |
No matching rows.