QwenWorldBench
Qwen3.7-Plus 62.1% Fading Models act as world models that simulate agent environments in 7 domains, such as terminal, web, and Android. A rubric judge scores five dimensions.
In-house: Qwen never released the tasks.
Made by Qwen Team , Alibaba Group Released May 2026 Interactive world models Tasks kept private Last in a launch post Jun 2026 , dropped before it saturated
Last model added Jun 2026
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
2
Models scored in lab cards
2
Launch posts list it, from 1 lab
Qwen3.7-Plus leads with 62.1%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1 Qwen3.7-Plus 62.1%
- 2 Qwen3.7-Max 57.3%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Qwen3.7-Plus | 62.1% | Jun 2026 | Model card | |
| 2 | Qwen3.7-Max | 57.3% | May 2026 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Reported by the lab in its model card
Best so far
Labs headline it less often now, last in Jun 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 1 Jun 2026 | Qwen3.7-Plus | 62.1 | QwenWorldBench |
| 20 May 2026 | Qwen3.7-Max | 57.3 | QwenWorldBench |
More in World models
- AgentWorldBench In use Language world models predict the next environment observation after an agent action, in 7 domains from MCP and search to Android and desktop OS. A judge model scores each prediction against the real observation on five dimensions. Qwen-AgentWorld-35B-A3B 56.4
- IntPhys 2 In use Models watch simulated videos and judge whether each event is physically possible, testing object permanence, immutability, continuity and solidity. Scored by accuracy.
Muse Spark Open 68.3% - VPCT Fading Models view an image of a ball, ramps, and three buckets and predict which bucket the ball falls into. Scored by accuracy on 100 problems.
Gemini 3 Pro 91% - ContPhy Fading Models infer physical properties such as mass and density of fluids and soft bodies from videos and predict their dynamics.
Seed2.0 Pro 67.4% - MVPBench Dropped Models answer video questions on spatial, temporal and intuitive physics. Each question comes in a pair of near-identical videos with opposite answers, so text or single-frame shortcuts fail. gemini-robotics-er-1.5-preview 72.5%
- RBench Not in model cards 650 image+text prompts for robot video generation (tasks and embodiments). MLLM judge scores task completion, physical plausibility, stability.
Wan 2.6 60.7%