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.
Claude Opus 4.8 from Anthropic currently leads the DeepSearchQA leaderboard with a score of 0.931 across 6 evaluated AI models.
What DeepSearchQA measures
DeepSearchQA is a text benchmark that evaluates large language models on reasoning, search, and agents tasks. LLM Stats tracks 6 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.8, with the leader reaching 0.9.
Compare leaders on the best AI for reasoning, best AI for search and best AI for agents leaderboards.
Claude Opus 4.8 leads with 93.1%, followed by Claude Opus 4.6 at 91.3% and 
MiMo-V2-Pro at 86.7%.
Progress Over Time
Interactive timeline showing model performance evolution on DeepSearchQA
DeepSearchQA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Anthropic | — | 1.0M | $5.00 / $25.00 | ||
| 2 | Anthropic | — | 1.0M | $5.00 / $25.00 | ||
| 3 | Xiaomi | 1.0T | — | — | ||
| 4 |  Moonshot AI | 1.0T | 262K | $0.95 / $4.00 | ||
| 5 | Moonshot AI | 1.0T | — | — | ||
| 6 |  Meta | — | — | — |
FAQ
Common questions about DeepSearchQA.
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