WideSearch
WideSearch is an agentic search benchmark that evaluates models' ability to perform broad, parallel search operations across multiple sources. It tests wide-coverage information retrieval and synthesis capabilities.
Kimi K2.6 from Moonshot AI currently leads the WideSearch leaderboard with a score of 0.808 across 8 evaluated AI models.
Kimi K2.6 leads with 80.8%, followed by Kimi K2.5 at 79.0% and 
Qwen3.6 Plus at 74.3%.
Progress Over Time
Interactive timeline showing model performance evolution on WideSearch
WideSearch Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Moonshot AI | 1.0T | 262K | $0.95 / $4.00 | ||
| 2 | Moonshot AI | 1.0T | 262K | $0.60 / $3.00 | ||
| 3 |  Alibaba Cloud / Qwen Team | — | 1.0M | $0.50 / $3.00 | ||
| 4 | Alibaba Cloud / Qwen Team | 397B | 262K | $0.60 / $3.60 | ||
| 5 | Alibaba Cloud / Qwen Team | 27B | 262K | $0.30 / $2.40 | ||
| 6 | Alibaba Cloud / Qwen Team | 122B | 262K | $0.40 / $3.20 | ||
| 7 | Alibaba Cloud / Qwen Team | 35B | — | — | ||
| 8 | Alibaba Cloud / Qwen Team | 35B | 262K | $0.25 / $2.00 |
FAQ
Common questions about WideSearch.
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