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LLM Stats
DeepSearchQA
DeepSearchQA is a benchmark for evaluating deep search and question-answering capabilities, testing models' ability to perform multi-hop reasoning and information retrieval across complex knowledge domains.
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 9
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Kimi K3 | 0.95 | Not recorded | Not recorded | 2026-07-16 · model_announcement | LLM Stats |
| Claude Opus 4.8 | 0.931 | Not recorded | Not recorded | 2026-05-28 · model_announcement | LLM Stats |
| Claude Opus 4.6 | 0.913 | Not recorded | Not recorded | 2026-02-05 · model_announcement | LLM Stats |
| Hy3 | 0.91 | Not recorded | Not recorded | 2026-07-06 · model_announcement | LLM Stats |
| MiMo-V2-Pro | 0.867 | Not recorded | Not recorded | 2026-03-18 · model_announcement | LLM Stats |
| Kimi K2.6 | 0.83 | Not recorded | Not recorded | 2026-04-20 · model_announcement | LLM Stats |
| Kimi K2.5 | 0.771 | Not recorded | Not recorded | 2026-01-27 · model_announcement | LLM Stats |
| Muse Spark | 0.748 | Not recorded | Not recorded | 2026-04-08 · model_announcement | LLM Stats |
| Muse Glimmer-30B | 0.746 | Not recorded | Not recorded | 2026-08-10 · model_announcement | LLM Stats |