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Frames benchmark
AI model leaderboard for the Frames benchmark. Compare how large language models score on Frames, see the full ranking, and understand what this AI benchmark measures. Tongyi DeepResearch currently leads with 90.6. Long-context reasoning benchmark — multi-hop questions over Wikipedia evidence requiring information aggregation.
Leaderboard
| # | Model | Organization | Score | Variant | Source |
|---|---|---|---|---|---|
| #1 | Tongyi DeepResearch | Alibaba-NLP | 90.6 | react-avg@3 | official ↗ |
| #2 | Kimi K2 Thinking | Moonshot | 87 | thinking-w-tools | official ↗ |
| #3 | o3 | OpenAI | 84 | react-cited-tongyi | official ↗ |
| #4 | DeepSeek-V3.1 | DeepSeek | 83.7 | react-cited-tongyi | official ↗ |
| #5 | Claude Sonnet 4 | Anthropic | 80.7 | react-cited-tongyi | official ↗ |
| #6 | GLM 4.5 | Zhipu AI | 78.9 | react-cited-tongyi | official ↗ |
| #7 | Kimi K2 | Moonshot | 72 | react-cited-tongyi | official ↗ |
| #8 | Kimi Linear | Moonshot | 58.8 | long-context-128k | official ↗ |
| #9 | Kimi K2 | Moonshot | 58.1 | k2-0905-w-tools-cited-k2-thinking | official ↗ |
Frequently asked questions about Frames
What is the Frames benchmark?
Long-context reasoning benchmark — multi-hop questions over Wikipedia evidence requiring information aggregation.
How is the Frames benchmark scored?
Frames is scored using the accuracy metric, where a higher score is better. GenAIList aggregates reported scores from model providers and papers into a single ranked leaderboard.
Which AI model scores highest on Frames?
As of the latest reported scores on GenAIList, Tongyi DeepResearch achieves the highest result on Frames with a score of 90.6.
Is a higher Frames score better?
Yes. On Frames a higher score indicates better performance, so models near the top of the leaderboard are the strongest.