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HELMET benchmark
AI model leaderboard for the HELMET benchmark. Compare how large language models score on HELMET, see the full ranking, and understand what this AI benchmark measures. Kimi Linear currently leads with 90%. Long-context evaluation suite covering retrieval, summarization, and reasoning.
Leaderboard
| # | Model | Organization | Score | Variant | Source |
|---|---|---|---|---|---|
| #1 | Kimi Linear | Moonshot | 90% | helmet-icl-128k | official ↗ |
Frequently asked questions about HELMET
What is the HELMET benchmark?
Long-context evaluation suite covering retrieval, summarization, and reasoning.
How is the HELMET benchmark scored?
HELMET is scored using the accuracy (%) metric, where a higher score is better. The maximum achievable score is 100.000. GenAIList aggregates reported scores from model providers and papers into a single ranked leaderboard.
Which AI model scores highest on HELMET?
As of the latest reported scores on GenAIList, Kimi Linear achieves the highest result on HELMET with a score of 90%.
Is a higher HELMET score better?
Yes. On HELMET a higher score indicates better performance, so models near the top of the leaderboard are the strongest.