AgentWebBench (LLM-Selected Tools) - Question Answering: leaderboard

Metric: Answer accuracy (%, LLM judge) on 53 DeepResearchGym short-answer questions covered by the corpus, LLM user agent under tool-based prompted selection (the user agent chooses websites from their descriptions and calls 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
1Gemini 3 Flash (Preview)67.92
2GPT-5 Mini32.08
3Qwen 3 Next 80B A3B (Thinking)32.08
4DeepSeek V3.2 (Thinking)24.53
5Qwen 3 30B A3B 2507 (Thinking)24.53
6Qwen 3 14B20.75
7Qwen 3 4B 2507 (Thinking)13.21

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