AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
LLM Stats
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 10
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Qwen3.8 Max | 0.819 | Not recorded | Not recorded | 2026-08-02 · model_announcement | LLM Stats |
| Kimi K2.6 | 0.808 | Not recorded | Not recorded | 2026-04-20 · model_announcement | LLM Stats |
| Kimi K2.5 | 0.79 | Not recorded | Not recorded | 2026-01-27 · model_announcement | LLM Stats |
| Hy3 | 0.764 | Not recorded | Not recorded | 2026-07-06 · model_announcement | LLM Stats |
| Qwen3.6 Plus | 0.743 | Not recorded | Not recorded | 2026-04-02 · model_announcement | LLM Stats |
| Qwen3.5-397B-A17B | 0.74 | Not recorded | Not recorded | 2026-02-16 · model_announcement | LLM Stats |
| Qwen3.5-27B | 0.611 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3.5-122B-A10B | 0.605 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3.6-35B-A3B | 0.601 | Not recorded | Not recorded | 2026-04-16 · model_announcement | LLM Stats |
| Qwen3.5-35B-A3B | 0.571 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |