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.

9rows
scoreprimary metric
2026-05-28sampled

Metadata

ID
deepsearchqa
Category
Search
Release
2026-01-28

Metrics

Score, Normalized Score

Showing 2 latest source slices.

Latest Results

Provider-published system-card benchmark scores parsed from Anthropic's Claude Opus 4.8 capability evaluation tables. Rows are marked self-reported and should be interpreted as source claims unless independently reproduced.

Rank Subject Score Model Match Provenance Sampled
1 Claude Mythos Preview 94.4% Claude Mythos Preview
anthropic-claude-mythos-preview
 		Self-reported 2026-05-28
2 Claude Opus 4.8 93.1% Claude Opus 4.8
anthropic-claude-opus-4.8
 		Self-reported 2026-05-28
3 Claude Opus 4.7 89.4% Claude Opus 4.7
anthropic-claude-opus-4.7
 		Self-reported 2026-05-28
4 Claude Opus 4.6 88.7% Claude Opus 4.6
anthropic-claude-opus-4.6
 		Self-reported 2026-05-28
1 Claude Opus 4.6 0.91 Claude Opus 4.6
anthropic-claude-opus-4.6
 		Self-reported 2026-05-06
2 MiMo-V2-Pro 0.87 MiMo-V2-Pro
xiaomi-mimo-v2-pro
 		Self-reported 2026-05-06
3 Kimi K2.6 0.83 KIMI MoonshotAI: Kimi K2.6
moonshotai-kimi-k2.6
 		Self-reported 2026-05-06
4 Kimi K2.5 0.77 KIMI MoonshotAI: Kimi K2.5
moonshotai-kimi-k2.5
 		Self-reported 2026-05-06
5 Muse Spark 0.75 — Self-reported 2026-05-06