FRAMES
Factuality, Retrieval, And reasoning MEasurement Set - a unified evaluation dataset of 824 challenging multi-hop questions for testing retrieval-augmented generation systems across factuality, retrieval accuracy, and reasoning capabilities, requiring integration of 2-15 Wikipedia articles per question
Kimi K2-Thinking-0905 from Moonshot AI currently leads the FRAMES leaderboard with a score of 0.870 across 2 evaluated AI models.
Kimi K2-Thinking-0905 leads with 87.0%, followed by 
DeepSeek-V3 at 73.3%.
Progress Over Time
Interactive timeline showing model performance evolution on FRAMES
FRAMES Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Moonshot AI | 1.0T | — | — | ||
| 2 |  DeepSeek | 671B | 131K | $0.27 / $1.10 |
FAQ
Common questions about FRAMES.
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