Agentic & Tool Use benchmark # DeepResearch Bench leaderboard > DeepResearch Bench results for 24 AI models, led by Claude Opus 4.6 at 55.3%. What the benchmark measures, who runs it, and a source for every score. - Canonical page: https://noometry.com/benchmarks/deepresearch-bench - Last updated: 2026-10-10 - Title: DeepResearch Bench Leaderboard (October 2026): Scores by Model As of October 2026, Claude Opus 4.6 has the highest published DeepResearch Bench score on Noometry at 55.3%, out of 24 models with results. Last verified October 10, 2026 ## About DeepResearch Bench PhD-level research tasks answered with long, cited reports. - **Category:** [Agentic & Tool Use](https://noometry.com/best/agentic) - **Introduced:** 2025 - **Size:** 100 tasks - **Format:** Research report - **Unit:** Percent (random guessing ≈ 0%) - **Official site:** [github.com](https://github.com/Ayanami0730/deep_research_bench) ## Top 15 models Top models on DeepResearch Bench 1. Claude Opus 4.6 55.3% 2. Claude Sonnet 4.6 54.9% 3. Claude Opus 4.5 54.8% 4. GPT-5.5 54% 5. Claude Sonnet 4.5 52.6% 6. Claude Opus 4.8 50.2% 7. Gemini 3 Flash Preview 49.8% 8. GPT-5 49.6% 9. Claude Opus 4.1 48.3% 10. Gemini 3.1 Pro Preview 47.8% 11. Grok 4 47.3% 12. Claude Opus 4 46.8% 13. Claude Sonnet 4 46.6% 14. Gemini 3 Pro 46.3% 15. Claude Haiku 4.5 45.5% 16. 4045505560 Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise) ## All results DeepResearch Bench results by model | # | Model | Provider | Score | Setting | Source | Date | | --- | --- | --- | --- | --- | --- | --- | | 1 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 55.3% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 2 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 54.9% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 3 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 54.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 4 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 54% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 5 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 52.6% | 2K | [Epoch AI](https://epoch.ai/benchmarks) | | | 6 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 50.2% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 7 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 49.8% | low | [Epoch AI](https://epoch.ai/benchmarks) | | | 8 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 49.6% | low | [Epoch AI](https://epoch.ai/benchmarks) | | | 9 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 48.3% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 10 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 47.8% | high | [Epoch AI](https://epoch.ai/benchmarks) | | | 11 | [Grok 4](https://noometry.com/models/grok-4) | [xAI](https://noometry.com/providers/xai) | 47.3% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 12 | [Claude Opus 4](https://noometry.com/models/claude-opus-4) | [Anthropic](https://noometry.com/providers/anthropic) | 46.8% | 2K | [Epoch AI](https://epoch.ai/benchmarks) | | | 13 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 46.6% | 2K | [Epoch AI](https://epoch.ai/benchmarks) | | | 14 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 46.3% | low | [Epoch AI](https://epoch.ai/benchmarks) | | | 15 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 45.5% | low | [Epoch AI](https://epoch.ai/benchmarks) | | | 16 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 45.2% | medium | [Epoch AI](https://epoch.ai/benchmarks) | | | 17 | [Claude 3.7 Sonnet](https://noometry.com/models/claude-3-7-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 43.6% | 2K | [Epoch AI](https://epoch.ai/benchmarks) | | | 18 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 42.8% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 19 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 42.8% | low | [Epoch AI](https://epoch.ai/benchmarks) | | | 20 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 41.1% | low | [Epoch AI](https://epoch.ai/benchmarks) | | | 21 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) | [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 37.3% | low | [Epoch AI](https://epoch.ai/benchmarks) | | | 22 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 36.3% | low | [Epoch AI](https://epoch.ai/benchmarks) | | | 23 | [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 35.1% | | [Epoch AI](https://epoch.ai/benchmarks) | | | 24 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 35.1% | low | [Epoch AI](https://epoch.ai/benchmarks) | | ## Compare the leaders - [Claude Opus 4.6 vs Claude Sonnet 4.6](https://noometry.com/compare/claude-opus-4-6-vs-claude-sonnet-4-6) - [Claude Opus 4.6 vs Claude Opus 4.5](https://noometry.com/compare/claude-opus-4-5-vs-claude-opus-4-6) - [Claude Opus 4.6 vs GPT-5.5](https://noometry.com/compare/claude-opus-4-6-vs-gpt-5-5) - [Claude Opus 4.6 vs Claude Sonnet 4.5](https://noometry.com/compare/claude-opus-4-6-vs-claude-sonnet-4-5) - [Claude Sonnet 4.6 vs Claude Opus 4.5](https://noometry.com/compare/claude-opus-4-5-vs-claude-sonnet-4-6) - [Claude Sonnet 4.6 vs GPT-5.5](https://noometry.com/compare/claude-sonnet-4-6-vs-gpt-5-5) ## Other agentic & tool use benchmarks - [Terminal-Bench](https://noometry.com/benchmarks/terminal-bench) - [APEX-Agents](https://noometry.com/benchmarks/apex-agents) - [Berkeley Function Calling Leaderboard](https://noometry.com/benchmarks/bfcl) - [OSWorld 2.0](https://noometry.com/benchmarks/osworld-2) - [GDPval](https://noometry.com/benchmarks/gdpval) - [Remote Labor Index](https://noometry.com/benchmarks/remote-labor-index) - [TheAgentCompany](https://noometry.com/benchmarks/the-agent-company) - [τ²-bench Airline](https://noometry.com/benchmarks/tau2-airline) - [τ²-bench Banking](https://noometry.com/benchmarks/tau2-banking) - [τ²-bench Retail](https://noometry.com/benchmarks/tau2-retail) - [τ²-bench Telecom](https://noometry.com/benchmarks/tau2-telecom) - [Cybench](https://noometry.com/benchmarks/cybench) ## Frequently asked questions ### What does DeepResearch Bench measure? PhD-level research tasks answered with long, cited reports. ### Which model has the highest DeepResearch Bench score? As of October 2026, Claude Opus 4.6 has the highest published DeepResearch Bench score on Noometry at 55.3%, out of 24 models with results. ### Cite this page Noometry. (2026). DeepResearch Bench leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/deepresearch-bench Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/deepresearch-bench.md).