LingBot-World 2.0 vs ABot-World-0-5B: inputs, controls and API cost
Compare LingBot-World 2.0 and ABot-World-0-5B APIs: inputs, outputs, streaming delivery and ready-second cost. Choose a Windflow model for your product.
LingBot-World 2.0 and ABot-World-0-5B are both navigable world model options in Windflow's public catalog. Choose by the inputs and interaction you need, then evaluate quality and responsiveness with your actual application. This page compares the published serving profiles; it does not present a head-to-head performance experiment.
Quick decision
- Evaluate LingBot-World 2.0 for: Navigable game-like worlds generated from a single image.
- Evaluate ABot-World-0-5B for: Third-person explorable scenes with a controllable character.
Specifications side by side
| Published specification | LingBot-World 2.0 | ABot-World-0-5B |
|---|---|---|
| Architecture | Seed-image conditioned navigable world model | 5B keyboard-conditioned world model (Wan2.2-TI2V backbone, LongForcing causal student) |
| Resolution | 1408 × 768 delivery (704 × 384 generation) | 1344 × 768 delivered (896 × 512 generation + learned super-resolution) |
| Chunk | Movement and look apply at the next generation-block boundary | 12-frame AR blocks; held keys are sampled at each block boundary |
| Inputs | A seed image (uploadFile) and a text prompt, plus persistent WASD movement and look controls | A seed image, a text prompt, and persistent movement/camera key state |
| Outputs | A navigable stream on main_video you steer in real time | A third-person navigable world stream on main_video |
| Delivery | WebSocket (H.264) · WebRTC | WebSocket (H.264) |
| Session protocol | sdk.realtime.v2 | sdk.realtime.v2 |
| Price | $0.0024 per ready second | $0.0023 per ready second |
| Implementation status | production | production |
Implementation status describes runtime maturity. Live GPU readiness is reported separately; Windflow is in private beta and brings capacity up on demand.
Input and control fit
Both models accept text prompts in the published Windflow profile. Both models accept reference or seed images in the published Windflow profile. Both models do not accept uploaded source clips in the published Windflow profile. Both models do not accept live webcam input in the published Windflow profile. Both models accept movement and look controls in the published Windflow profile.
A shared session API does not make commands interchangeable. Use each model's supported inputs and control timing. In particular, prompt changes may land at a chunk or generation-window boundary; movement input can represent persistent state until replaced.
What LingBot-World 2.0 is designed for
LingBot-World is an open-source world model from Robbyant, Ant Group's embodied-intelligence unit. On Windflow, LingBot-World 2.0 turns a seed image and a text prompt into a navigable stream that you steer in real time with persistent WASD movement and look controls.
- Navigable game-like worlds generated from a single image.
- Interactive scene exploration for previsualisation and level concepting.
- Embodied-AI and simulation research that needs a controllable world stream.
- Prototyping WASD-controlled experiences without building a game engine first.
What ABot-World-0-5B is designed for
ABot-World is an open-source interactive world model from Alibaba's AMAP computer-vision lab, aimed at rolling out an endless world in real time. ABot-World-0-5B is served on Windflow as a third-person, keyboard-driven world: movement drives an on-screen character rather than a free camera.
- Third-person explorable scenes with a controllable character.
- Game-style prototypes driven by an eight-key control vocabulary.
- Endless-rollout experiments where the world keeps generating as the character moves.
- Comparing third-person and first-person world models on one protocol.
Compare a realistic session budget
- LingBot-World 2.0: $0.0024 per ready second, or $1.44 for ten ready minutes.
- ABot-World-0-5B: $0.0023 per ready second, or $1.38 for ten ready minutes.
Queueing and worker startup are free. A ready owner session can remain billable while delivery is paused or unwatched; release it when done. Independent sessions carry independent meters. Use the cost calculator to estimate your duration and daily sessions.
Evaluate before choosing
Use one repeatable input sequence, the same client and network, and equivalent output expectations. Record first visible frame, control-to-visible delay, frame gaps, scene continuity and rejected controls. Run several starts and a sustained session. If serving profiles differ, label the differences instead of treating displayed FPS as directly comparable native generation speed.
See the latency measurement guide and the model selector for a reproducible decision process.
Sources
- Robbyant/lingbot-world on GitHub — Apache-2.0 (repository)
- amap-cvlab/ABot-World on GitHub — Apache-2.0
FAQ
Is LingBot-World 2.0 better than ABot-World-0-5B?
The answer depends on the inputs, control behavior, quality and output your product requires. The published specifications identify capability differences; an application-level evaluation establishes performance for your scenario.
Can I switch between these models through the same API?
Windflow keeps the session lifecycle common. Your application must adapt to each model's supported inputs, commands, output tracks and generation timing.
Do the published prices guarantee available GPU capacity?
No. Rates and implementation status are catalog facts. Live readiness is a separate operational signal, and private-beta access is required to run sessions.