Grok Imagine Video 1 5 Preview

A frontier reasoning model for coding, knowledge work, and STEM tasks. It supports image input, function calling, and structured outputs; its 500K-token context suits cross-file analysis and long source material. Prefer a lower-cost model when frontier reasoning is unnecessary.

Built for professional video work such as ads, branded content, and narrative shorts, with an emphasis on longer scenes, multi-asset direction, and iterative refinement. It supports text- and image-driven generation plus R2V reference control, combines multimodal assets, produces up to 30 seconds in standard mode, and can revise selected regions without regenerating the full clip. The main reasons to choose it over Seedance 2.0 are longer continuous shots, richer reference input, and more controllable post-generation fixes.

Built for video-to-video and multi-asset video creation, improving on Seedance 1.x with more complete motion stability, audiovisual generation, and reference inputs. Compared with Veo, Kling, and Runway, it is better suited to Chinese creative workflows driven by mixed text, image, audio, and video inputs. The fast variant is better for rapid iteration and batch production than the standard tier. Useful for short drama, ads, e-commerce, and social assets.

Built for reference-to-video, with a stronger audio-native workflow than HappyHorse 1.0, generating dialogue, sound effects, and background music in one pass. Compared with Veo, Kling, and Runway, its differentiator is synchronized audiovisual generation and character-consistent workflows for short drama, ads, e-commerce, and brand marketing.