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Alaya-EVOKE

Alaya-EVOKE is a native interactive world model evaluated by WBench.

robotics model-based-rl simulation embodied-ai

Key Attributes

Static HTML snapshot of the model record for crawlers and no-JS readers.

AttributeValue
ModelAlaya-EVOKE
Lab / OrganizationAlaya
CategoryGenerative World Model
SubtypePersistent Interactive World Model
World Model TypePersistent Interactive World Model
Primary DomainPersistent Interactive Worlds
Architecture14B three-step autoregressive diffusion transformer with world-state bank
ModalityPrompt + Camera Control -> Persistent World
Training MethodAutoregressive interactive world modeling
Statusemerging
Year2026

About Alaya-EVOKE

Main editorial body preserved directly in static HTML.

Alaya-EVOKE generates an evolving environment conditioned on camera input. It is included as a native interactive system rather than a text-to-video model wrapped in WBench's chained-context protocol.

Alaya-EVOKE is a persistent interactive world model developed by Alaya Lab in 2026 for persistent interactive worlds.

Editorial Snapshot

Short extractable facts for answer engines and no-JS readers.

SignalValue
DefinitionAlaya-EVOKE is a persistent interactive world model developed by Alaya Lab in 2026 for persistent interactive worlds.
Short DescriptionAlaya-EVOKE is a native camera-conditioned interactive world model evaluated by WBench.
Benchmark Rows1
FAQ Entries1
Related Models3
Related Guides0
Related Research Topics0
Last Updated2026-08-31

Notable Features

Key capabilities associated with this model.

  • Persistent world state
  • Hours-long sessions
  • Mid-session event editing

Use Cases

Representative applications attached to this model record.

Interactive environment simulationWorld-model evaluationPersistent Interactive Worlds

Strengths and Limitations

Balanced assessment surfaced in static HTML.

Strengths

  • Persistent world state
  • Hours-long sessions

Limitations

  • Recent research release
  • WBench result tied to evaluated checkpoint

Benchmarks

Published benchmark evidence attached to this model record.

BenchmarkMetricResultSource
WBenchFive-dimension average 80.8 /10080.8Source

References and Citations

Primary references preserved in static HTML for citation extraction.

ReferenceLink
Alaya Lab. Alaya-EVOKE. Primary project source.Open source
Ying et al., 2026. WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation.Open source

Related Models

Nearby models linked from the current editorial record.

ModelCategoryWorld Model TypeIndex v1.1
AlayaWorldGenerative World ModelCamera-Conditioned Interactive World ModelN/A
LingBot-WorldGenerative World ModelVersatile Interactive World ModelN/A
HY-World 1.5Generative World ModelCamera-Conditioned Interactive World ModelN/A

Frequently Asked Questions

FAQ answers rendered directly into static HTML for extractable responses.

Why is Alaya-EVOKE included?

Alaya-EVOKE exposes native camera conditioning and generates an evolving interactive environment; WBench evaluates that interface directly.

Quick Answer

Short extractable summary preserved directly in static HTML.

  • Alaya-EVOKE is a persistent interactive world model developed by Alaya Lab in 2026 for persistent interactive worlds.
  • Use this page when you need a fast read on how Alaya-EVOKE fits into the generative world model landscape, then validate the details in the benchmarks, citations, and related pages.
  • A key strength surfaced in the editorial record is persistent world state.

Editorial Trust Signals

Editorial provenance and refresh policy preserved directly in static HTML.

Published by world-models.io editorial board.

Lead editor Tyler D. - Technical editor, methodology and benchmark analysis.

This model page synthesizes primary papers, official model pages, benchmark evidence, and related world-models.io context into a reference resource.

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.

Pages are refreshed when a new paper, benchmark, release, architecture update, or stronger primary source materially changes the answer a reader or AI system should retrieve.

Each page links back to relevant primary sources and keeps a stable canonical URL so readers can verify claims, trace context, and reference the most up-to-date version. See the editorial policy.

Primary sources onlyLast reviewed date visibleMethodology documentedSource links included

External Sources

Primary model and lab sources embedded in static HTML.

References

  1. [1] Alaya Lab. Alaya-EVOKE. Primary project source.
  2. [2] Ying et al., 2026. WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation.