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 4.6 from Anthropic currently leads the DeepSearchQA leaderboard with a score of 0.913 across 5 evaluated AI models.

AnthropicClaude Opus 4.6 leads with 91.3%, followed by XiaomiMiMo-V2-Pro at 86.7% and Moonshot AIKimi K2.6 at 83.0%.

Progress Over Time

Interactive timeline showing model performance evolution on DeepSearchQA

State-of-the-art frontier
Open
Proprietary

DeepSearchQA Leaderboard

5 models
ContextCostLicense
11.0M$5.00 / $25.00
21.0T1.0M$1.00 / $3.00
3
Moonshot AI
Moonshot AI
1.0T262K$0.95 / $4.00
4
Moonshot AI
Moonshot AI
1.0T262K$0.60 / $3.00
5
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FAQ

Common questions about DeepSearchQA.

What is the DeepSearchQA benchmark?

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.

What is the DeepSearchQA leaderboard?

The DeepSearchQA leaderboard ranks 5 AI models based on their performance on this benchmark. Currently, Claude Opus 4.6 by Anthropic leads with a score of 0.913. The average score across all models is 0.826.

What is the highest DeepSearchQA score?

The highest DeepSearchQA score is 0.913, achieved by Claude Opus 4.6 from Anthropic.

How many models are evaluated on DeepSearchQA?

5 models have been evaluated on the DeepSearchQA benchmark, with 0 verified results and 5 self-reported results.

What categories does DeepSearchQA cover?

DeepSearchQA is categorized under agents, reasoning, and search. The benchmark evaluates text models.

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