reasoning benchmark
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.
Updated Aug 11, 2026
Models9
Model coverage9
MetricScore
EvidenceB
DeepSearchQA Ranking
Higher score ranks better on this benchmark.
| 01 | MA | 95.0% | 100.0% | 9 | C | |
| 02 | AN | 93.1% | 87.5% | 9 | C | |
| 03 | AN | 91.3% | 75.0% | 9 | C | |
| 04 | TE | 91.0% | 62.5% | 9 | C | |
| 05 | XI | 86.7% | 50.0% | 9 | C | |
| 06 | MA | 83.0% | 37.5% | 9 | C | |
| 07 | MA | 77.1% | 25.0% | 9 | C | |
| 08 | ME | 74.8% | 12.5% | 9 | C | |
| 09 | ME | 74.6% | 0.0% | 9 | C |
DeepSearchQA Score Distribution
A closer view of the leading scores on this benchmark.
DeepSearchQA Highlights
The leading models and scores on this benchmark.
What is DeepSearchQA?
What DeepSearchQA measures and how its scores work.
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.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- DeepSearchQA
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- deepsearchqa|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about DeepSearchQA.
Which model scores highest on DeepSearchQA?
Kimi K3 is currently ranked first with 95.0%.
What does DeepSearchQA measure?
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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
9 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.