AgentWebBench (Multi-Agent Coordination) - Deep Research: leaderboard
Metric: Key Point Recall (%) of long reports on 331 DeepResearchGym queries covered by the corpus, LLM user agent under multi-agent coordination (the user agent plans multi-turn exchanges with website content agents, which retrieve within their own site and answer in natural language), thinking mode on; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 Mini | 69.39 |
| 2 | DeepSeek V3.2 (Thinking) | 64.95 |
| 3 | Gemini 3 Flash (Preview) | 62.45 |
| 4 | Qwen 3 Next 80B A3B (Thinking) | 57.28 |
| 5 | Qwen 3 30B A3B 2507 (Thinking) | 52.03 |
| 6 | Qwen 3 14B | 49.85 |
| 7 | Qwen 3 4B 2507 (Thinking) | 47.54 |
Interactive version: theaggregate.ai/benchmark?slug=agentwebbench-multi-agent-coordination-deep-research · How It Works · Data refreshed daily, snapshot 2026-10-07.