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| Attribute | Value |
|---|---|
| Model | Infinite-World |
| Lab / Organization | Meituan |
| Category | Generative World Model |
| Subtype | Action-Conditioned Infinite World Model |
| World Model Type | Action-Conditioned Infinite World Model |
| Primary Domain | Interactive Gaming |
| Architecture | Action-conditioned autoregressive interactive world model |
| Modality | Image + Discrete Actions -> Interactive Video |
| Training Method | Autoregressive interactive world modeling |
| Status | emerging |
| Year | 2026 |
Main editorial body preserved directly in static HTML.
Infinite-World generates an evolving environment conditioned on action input. It is included as a native interactive system rather than a text-to-video model wrapped in WBench's chained-context protocol.
Infinite-World is an action-conditioned infinite world model developed by Meituan in 2026 for interactive gaming.
Short extractable facts for answer engines and no-JS readers.
| Signal | Value |
|---|---|
| Definition | Infinite-World is an action-conditioned infinite world model developed by Meituan in 2026 for interactive gaming. |
| Short Description | Infinite-World is a native action-conditioned interactive world model evaluated by WBench. |
| Benchmark Rows | 1 |
| FAQ Entries | 1 |
| Related Models | 2 |
| Related Guides | 0 |
| Related Research Topics | 0 |
| Last Updated | 2026-08-31 |
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Published benchmark evidence attached to this model record.
| Benchmark | Metric | Result | Source |
|---|---|---|---|
| WBench | Five-dimension average 72.8 /100 | 72.8 | Source |
Primary references preserved in static HTML for citation extraction.
| Reference | Link |
|---|---|
| Meituan. Infinite-World. Primary project source. | Open source |
| Ying et al., 2026. WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation. | Open source |
Nearby models linked from the current editorial record.
| Model | Category | World Model Type | Index v1.1 |
|---|---|---|---|
| MatrixGame3 | Generative World Model | Action-Conditioned Interactive Game World Model | N/A |
| ABot-World | Generative World Model | Action-Conditioned Infinite World Model | N/A |
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Infinite-World exposes native action conditioning and generates an evolving interactive environment; WBench evaluates that interface directly.
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Published by world-models.io editorial board.
Lead editor Tyler D. - Technical editor, methodology and benchmark analysis.
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Each editorial page is assembled from primary sources, normalized into extractable summaries, checked for factual drift, and reviewed before publication or major refreshes. Last reviewed: 2026-08-31.
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