Google
7.2/10
- Realistic motion and prompt adherence with native synchronized audio
- Strong for cinematic scenes and ambience out of the box
- Availability and pricing vary by platform and SKU
- Generation still limited to relatively short clip lengths
Genmo AI
Genmo Mochi 1
- Maker
- Genmo AI
- Origin
- United States
- Released
- Oct 2024
- Category
- Video Generation
Strengths & weaknesses
- Was the largest open-weight video model at launch, useful for research
- Fully open, self-hostable diffusion transformer
- Capped at 480p and about 5 seconds per clip
- Superseded by newer open video models
Evaluation
In assessment · 60% measuredScored on Mochi 1 · sources as of Sep 19, 2026
- Text-to-videow601.1
Rule B1,006 rating · Ranks 9 of 9 measured in Video Generation · LMArena text-to-video arena (mochi-v1) · Sep 4, 2026
- Image-to-videow40—
No independent measurement yet
w = weight, each criterion’s share of the overall score. Missing marks don’t count for or against. How scoring works
Enterprise fit
Highest-ROI use cases
Where Genmo Mochi 1 fits inside a company, ranked by the strength of published ROI evidence for each use case.
All 100 enterprise use cases →- 01Marketing, content & salesControlled trialMarketing & sales
- ▸ Built for this kind of work (Video Generation)
More in Video Generation
View all →OpenAI
- Set the early bar for realistic, physically-consistent video generation
- Strong brand recognition and broad public familiarity
- OpenAI closed the Sora app in April 2026 and removes the API on September 24, 2026
- Superseded by newer models from Google, ByteDance, and Kuaishou
Kuaishou
- Excellent character motion and dramatic, controllable camera moves
- Strong image-to-video animation from a single source frame
- Frame preservation needs careful checking on longer generations
- Native audio exists but is often disabled in third-party integrations
Runway
- Full creative production environment, not just a generation endpoint
- Strong iteration, editing, and referencing tools for professional workflows
- Audio still has to be added separately in most pipelines
- Steeper learning curve than simple prompt-and-generate tools