AgentWebBench (Multi-Agent Coordination) - Question Answering: leaderboard
Metric: Answer accuracy (%, LLM judge) on 53 DeepResearchGym short-answer questions 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 | Gemini 3 Flash (Preview) | 67.92 |
| 2 | Qwen 3 Next 80B A3B (Thinking) | 37.74 |
| 3 | GPT-5 Mini | 33.96 |
| 4 | DeepSeek V3.2 (Thinking) | 30.19 |
| 5 | Qwen 3 14B | 28.3 |
| 6 | Qwen 3 30B A3B 2507 (Thinking) | 20.75 |
| 7 | Qwen 3 4B 2507 (Thinking) | 15.09 |
Interactive version: theaggregate.ai/benchmark?slug=agentwebbench-multi-agent-coordination-question-answering · How It Works · Data refreshed daily, snapshot 2026-10-07.