Benchmark
WideSearch
WideSearch is an agentic search benchmark that evaluates models' ability to perform broad, parallel search operations across multiple sources. It tests…
- Modality
- text
- Categories
- reasoning, search, agents
- Openness
- unknown
- Source
- llm_stats
- Reported scores
- 10
Reported scores
llm_stats
| Model | Organization | Reported value | Reported | Evidence |
|---|---|---|---|---|
| Hy3 | Tencent | 0.764 | 2026-07-06 | evidence |
| Kimi K2.5 | Moonshot AI | 0.79 | 2026-01-27 | evidence |
| Kimi K2.6 | Moonshot AI | 0.808 | 2026-04-20 | evidence |
| Qwen3.5-122B-A10B | Qwen | 0.605 | 2026-02-24 | evidence |
| Qwen3.5-27B | Qwen | 0.611 | 2026-02-24 | evidence |
| Qwen3.5-35B-A3B | Qwen | 0.571 | 2026-02-24 | evidence |
| Qwen3.5-397B-A17B | Qwen | 0.74 | 2026-02-16 | evidence |
| Qwen3.6 Plus | Qwen | 0.743 | 2026-04-02 | evidence |
| Qwen3.6-35B-A3B | Qwen | 0.601 | 2026-04-16 | evidence |
| Qwen3.8 Max | Qwen | 0.819 | 2026-08-02 | evidence |
Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.