Compare · evaluation guide
How to compare AI world models
What to look for when you benchmark static generators against real-time models — fidelity, consistency, export, and how Roamscape runs neutral side-by-side tests.
What is an AI world model?
An AI world model is a generative system that turns an input — a text prompt, image, panorama, or video — into a navigable 3D environment you can move through. Unlike an image or video generator, which produces a fixed frame, it reconstructs a spatially consistent world with persistent geometry, so you can explore it from any viewpoint, stream it live, or export it into a 3D pipeline.
In short: image and video generators predict pixels; world models predict space. That spatial output is what makes the result something you can walk through, benchmark, and build on.
How an AI world model works
Most world models follow the same four-step pipeline — they differ in how far they push each step and which inputs and outputs they support.
Input
You provide a starting reference — a text prompt, image, 360° panorama, or short video clip. The richer the input, the more the model has to anchor to.
Spatial inference
The model infers depth, layout, and occluded structure, reconstructing a coherent scene rather than predicting the next flat frame.
3D representation
It outputs a navigable representation — commonly Gaussian splats or a mesh — with persistent geometry that holds together as you move.
Explore or export
You walk the world from any viewpoint, step into a real-time session, or export the assets into engines and DCC tools downstream.
Two kinds of world model
The biggest split is static vs. real-time. They optimise for different things, so they're best compared within their own class — never mix the two head to head.
Static generators
Studio · CompareGenerate a complete world from one input, then explore or export it. Optimised for fidelity and reusable assets rather than instant feedback.
examples: Marble · Echo-2
Real-time / interactive
LiveRender and steer a world frame-by-frame as you prompt it, trading some persistence and export quality for low-latency, playable sessions.
examples: Helios · LingBot
How to evaluate them
There's no single best world model — only the best one for a given job. Roamscape scores every model on these five criteria.
- Geometry fidelity
- How structurally accurate and believable the reconstructed space is — straight walls, sensible depth, no melted or floating geometry.
- Consistency
- Whether the world stays spatially and visually coherent as you move through it, instead of drifting or re-inventing detail off-camera.
- Input flexibility
- Which inputs a model accepts — text, image, panorama, video — and how gracefully it handles sparse or ambiguous references.
- Export quality
- How usable the output is downstream: clean meshes or splats, sane scale, and formats that drop into a real 3D pipeline.
- Speed / real-time latency
- Generation time for static models, and end-to-end latency for live models that have to render and respond as you steer them.
What people build with them
The same core capability — input in, walkable world out — shows up across very different workflows.
Game prototyping
Block out explorable levels and environments from a prompt in minutes, long before committing art and engineering time.
VR & architecture
Turn a photo or panorama of a space into a walkable 3D model for design review, client walkthroughs, or immersive presentation.
Film & previz
Generate location concepts and pre-visualisation environments you can move a virtual camera through to plan shots.
Robotics & simulation
Spin up varied synthetic environments to train and test physical-AI agents in closed-loop simulation.
Frequently asked
Is an AI world model the same as a video generator?
No. A video generator produces a fixed sequence of frames from one camera path. An AI world model reconstructs a spatially consistent 3D scene you can navigate from any angle, with persistent geometry rather than a pre-rendered shot.
What inputs can an AI world model take?
Depending on the model, a text prompt, a single image, a 360° panorama, or a short video. Static generators like Marble accept the widest range of inputs; some models are limited to text and image.
What is the difference between static and real-time world models?
Static generators build a complete world from one input that you then explore or export, prioritising fidelity. Real-time models render and respond frame-by-frame as you steer them, prioritising low latency and interactivity over export quality and persistence.
How do you evaluate an AI world model?
Roamscape benchmarks models on five criteria: geometry fidelity, consistency, input flexibility, export quality, and speed or real-time latency. The right model depends on which of these matters most for your use case.
Can I export a generated world into other 3D tools?
Some models can. Static generators are more likely to output reusable assets such as Gaussian splats or meshes that drop into engines and DCC tools, while live models are usually tuned for in-session play rather than export.
Keep exploring
Marble vs Echo-2
A practical comparison of World Labs Marble and spAItial Echo-2 for AI world generation, spatial consistency, inputs, outputs, exports, and best use cases.
Genie 3 vs Marble
Compare Google DeepMind Genie 3 and World Labs Marble: real-time interactive world simulation vs persistent, exportable 3D world generation.
World Labs Marble vs spAItial Echo-2
A workflow-focused comparison of World Labs Marble and spAItial Echo-2 for creators, researchers, architects, game teams, and spatial AI developers.
The world model hub
Generate, compare, and step into AI world models from one place — see how Roamscape brings them together.
Ready to run your own?
Send the same prompt or image to two models and walk both outputs — then publish the run for others to vote on.