TaskEvolving Deep Research (No Tools, Assigned Topic): leaderboard
Metric: Rubric score (%; fact-grounded pointwise checkpoints of 500 evolved deep research tasks, evidential plus analytical, judged by Qwen3.7-Max; model mode without tools, internal knowledge only; assigned-topic query: a declarative research title). Source: arxiv.org. Saturation forecast: Around January 2027. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GLM-5.2 | 57 |
| 2 | GPT-5.6 Terra | 56 |
| 3 | Gemini 3.5 Flash | 54 |
| 4 | DeepSeek V4 Pro | 53 |
| 5 | Claude Sonnet 5 | 51 |
| 6 | Qwen 3.7 Max | 48 |
| 7 | Qwen 3.6 Flash | 38 |
| 8 | MiniMax-M2.5 | 35 |
| 9 | Qwen 3 32B | 18 |
| 10 | Qwen 3 14B | 16 |
Interactive version: theaggregate.ai/benchmark?slug=taskevolving-deep-research-no-tools-assigned-topic · How It Works · Data refreshed daily, snapshot 2026-09-26.