TaskEvolving Deep Research (Agent, Without Hints): leaderboard

Metric: Rubric score (%; fact-grounded pointwise checkpoints of 500 evolved deep research tasks, evidential plus analytical, judged by Qwen3.7-Max; agent mode with Google search and web scraping tools; query without hints: a short everyday question). Source: arxiv.org. Saturation forecast: Around December 2026. 10 models tracked.

Top models

#ModelScore
1DeepSeek V4 Pro68
2GLM-5.268
3Qwen 3.7 Max67
4GPT-5.6 Terra67
5Claude Sonnet 567
6Gemini 3.5 Flash57
7MiniMax-M2.542
8Qwen 3.6 Flash40
9Qwen 3 32B23
10Qwen 3 14B21

Interactive version: theaggregate.ai/benchmark?slug=taskevolving-deep-research-agent-without-hints · How It Works · Data refreshed daily, snapshot 2026-09-26.