DeepResearchBench: leaderboard

Evaluates deep research agents on multi-step information gathering and synthesis tasks. Tests ability to conduct thorough research across complex topics.

Metric: Average Score. Source: deepresearch-bench.github.io. Saturation forecast: Around 2029. 41 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.6 (High)55.3#63 (Claude Opus 4.6)
2Claude Sonnet 4.6 (High)54.9#90 (Claude Sonnet 4.6)
3Claude Opus 4.5 (20251101) (High)54.8#74 (Claude Opus 4.5 (20251101))
4GPT-5.5 (High)54#31 (GPT-5.5)
5Claude Opus 4.6 (Medium)53.2#63 (Claude Opus 4.6)
6Claude Opus 4.6 (Low)51.4#63 (Claude Opus 4.6)
7Claude Sonnet 4.6 (Low)50.4#90 (Claude Sonnet 4.6)
8Claude Opus 4.8 (High)50.2#37 (Claude Opus 4.8)
9Gemini 3 Flash (Preview) (Low)49.8#82 (Gemini 3 Flash (Preview))
10GPT-5.5 (Medium)49.6#31 (GPT-5.5)
11Claude Opus 4.8 (Low)49.3#37 (Claude Opus 4.8)
12Gemini 3 Flash49#99
13GPT-5.5 (Low)48.7#31 (GPT-5.5)
14GPT-5 (Medium)48.6#98 (GPT-5)
15Claude Opus 4.1 (20250805)48.3#132

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=deepresearchbench · How It Works · Data refreshed daily, snapshot 2026-10-20.