AgentWebBench (Embedding-Selected Tools) - Deep Research: leaderboard

Metric: Key Point Recall (%) of long reports on 331 DeepResearchGym queries covered by the corpus, LLM user agent under tool-based embedding selection (websites chosen by embedding similarity, documents fetched with a per-website dense retrieval tool, no content agents), thinking mode on; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 7 models tracked.

Top models

#ModelScore
1GPT-5 Mini70.87
2DeepSeek V3.2 (Thinking)68.23
3Gemini 3 Flash (Preview)65.17
4Qwen 3 Next 80B A3B (Thinking)62.9
5Qwen 3 30B A3B 2507 (Thinking)57.95
6Qwen 3 14B54.62
7Qwen 3 4B 2507 (Thinking)53.17

Interactive version: theaggregate.ai/benchmark?slug=agentwebbench-embedding-selected-tools-deep-research · How It Works · Data refreshed daily, snapshot 2026-10-07.