AgentGym2 - Deep Search: leaderboard

Deep search scenario of AgentGym2 (2026): 198 information-seeking tasks answered with short strings or numbers after web and tool exploration. Mean success over three runs in percent, higher is better.

Metric: Task success (%; Avg@3 on the 198 deep search tasks; mean over three runs of the share of tasks answered correctly (Avg@3), short string or numeric answers graded CORRECT by a Qwen3-235B-A22B-Instruct-2507 judge; ReAct agent with OpenAI tool schemas, tools to be discovered in a de-idealized environment with noisy or underspecified inputs, at most 100 interaction rounds, temperature 0.6, thinking mode as printed per model). Source: arxiv.org. Saturation forecast: Around February 2027. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-545.8#167
2Claude Sonnet 4.5 (Thinking)31.63#250 (Claude Sonnet 4.5)
3DeepSeek V3.2 Exp (Non-reasoning)24.41#438 (DeepSeek V3.2 Exp)
4Kimi K222.9#439
5Gemini 2.5 Pro22.56#266
6GLM-4.622.56#486
7DeepSeek V3.1 (Non-reasoning)20.54#497 (DeepSeek V3.1)
8Qwen 3 235B A22B 2507 Instruct16.84#619
9Qwen 3 235B A22B 2507 (Thinking)13.97#463
10Qwen 3 32B (Thinking)9.76#960 (Qwen 3 32B)
11Qwen 3 32B (Non-reasoning)8.25#960 (Qwen 3 32B)
12Qwen 3 8B (Thinking)7.41#1830 (Qwen 3 8B)
13Qwen 3 8B (Non-reasoning)6.57#1830 (Qwen 3 8B)

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=agentgym2-deep-search · How It Works · Data refreshed daily, snapshot 2026-11-13.