knowledge benchmark
KINA
KINA is a knowledge-intensive evaluation that measures a model's breadth and depth of factual knowledge across academic and professional domains.
Updated Aug 11, 2026
Models2
Model coverage2
MetricScore
EvidenceB
KINA Ranking
Higher score ranks better on this benchmark.
| 1 | BY | 48.3% | 100.0% | 2 | C | |
| 2 | BY | 46.6% | 0.0% | 2 | C |
KINA Score Distribution
A closer view of the leading scores on this benchmark.
KINA Highlights
The leading models and scores on this benchmark.
What is KINA?
What KINA measures and how its scores work.
KINA is a knowledge-intensive evaluation that measures a model's breadth and depth of factual knowledge across academic and professional domains.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- KINA
- Modality
- text
- Primary category
- knowledge
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- kina|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about KINA.
Which model scores highest on KINA?
Seed 2.1 Pro is currently ranked first with 48.3%.
What does KINA measure?
KINA is a knowledge-intensive evaluation that measures a model's breadth and depth of factual knowledge across academic and professional domains.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.