Multilingual Benchmark

NOVA-63

NOVA-63 - multilingual benchmark covering 63 languages.

Category

Multilingual

Score type

percent

Scale

relative

higher is better

Models tested

5

What is NOVA-63?

NOVA-63 is a benchmark for performance in languages other than English. The official description says: "NOVA-63 - multilingual benchmark covering 63 languages". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

NOVA-63 measures performance in languages other than english. In detail, it checks:

  • understanding and answering in many different languages
  • translation quality between language pairs
  • keeping math and reasoning quality when the question is not in English
  • treating low-resource languages fairly instead of defaulting to English

How to read the score

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: NOVA-63 - multilingual benchmark covering 63 languages.

Frequently asked questions

What is the NOVA-63 benchmark?

NOVA-63 is a benchmark for performance in languages other than English. The official description says: 'NOVA-63 - multilingual benchmark covering 63 languages'. Below we describe in simple words what benchmarks of this type generally examine.

What does NOVA-63 test?

NOVA-63 mainly measures performance in languages other than English. Concretely, it checks: understanding and answering in many different languages; translation quality between language pairs; keeping math and reasoning quality when the question is not in English.

How is the NOVA-63 score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Where do I get NOVA-63 data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/nova-63/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 5 models tested

Reset
# Model Score Date Source Verified
1 Qwen3.5-122B-A10B
Qwen Team (Alibaba Cloud)
58.6%
01.02.2026 Report Verified
2 Qwen3.5-27B
Qwen Team (Alibaba Cloud)
58.1%
01.02.2026 Report Unverified
3 Qwen3.5-35B-A3B
Qwen Team (Alibaba Cloud)
57.1%
01.02.2026 Report Unverified
4 Qwen3-235B-A22B
Qwen Team (Alibaba Cloud)
55.4%
01.02.2026 Report Unverified
5 Qwen3.5-4B
Qwen
54.3%
01.02.2026 Report Verified

What now?

You've seen how models score on NOVA-63 — here's what to do next.