Google VeoAI Video Generation
Paid
Google DeepMind's video model that generates 1080p and 4K clips with native sound effects and dialogue, in Gemini, Flow and the Gemini API.
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Genmo
FreemiumOpen-source AI research lab building state-of-the-art video world models with its Mochi model for high-quality generation
Genmo at a glance
- Free plan
- Yes
- Platforms
- Web, API
- Best for
- AI researchers studying video generation and world models
What is Genmo?
Genmo is a small San Francisco research lab building open video generation models. Its flagship, Mochi, ships under Apache 2.0 with full weights and code on Hugging Face, making it one of the few genuinely open alternatives to Runway, Kling and Luma. It is well regarded for temporal coherence, meaning objects and motion hold together across frames noticeably better than many cheaper options, and there is a hosted playground for trying it without setup.
Both routes have a hard ceiling. Self-hosting Mochi requires at least four Nvidia H100 GPUs, which rules it out for most individuals. On the hosted playground each Mochi generation costs 100 credits while the free plan refreshes only 50 a month, so once the initial 200 onboarding credits are spent the free tier produces nothing. Output is capped around 5.4 seconds. Search interest has fallen sharply since the 2024 launch and the team is roughly fourteen people.
Key Features
Open-weight Mochi Video ModelText to Video GenerationHigh-Motion Video OutputStrong Prompt AdherenceOpen Source Model WeightsSelf-Hostable ArchitectureDeveloper API AccessGenmo Playground for Instant GenerationPhysical World Simulation ResearchCommunity Model SharingHigh Visual Fidelity OutputNo Platform Lock-inModel Fine-tuning CapabilityResearch Publication AccessRandom Prompt Inspiration ToolFast Generation SpeedMultiple Resolution Options
How to Use Genmo
1Visit genmo.ai and open the Playground for instant video generation
2Type a detailed text prompt describing your scene, motion, and style
3Optionally use the Random Prompt button to explore model capabilities
4Click Generate and wait for your video to render
5Download your video or share it from the Playground
6Explore model weights on GitHub for local deployment or fine-tuning
Who is Genmo for?
✅ Best For
- AI researchers studying video generation and world models
- Developers building AI video applications without platform dependency
- Technical creators who want to run models locally for privacy
- Open-source enthusiasts contributing to the AI video ecosystem
- Startups building products on top of open video generation models
❌ Not For
- Non-technical users looking for a simple point-and-click interface
- Business teams needing avatar-based or template-driven video
- High-volume commercial content production requiring SLAs
- Creators needing an all-in-one editing and generation suite
Reviews
No reviews yet. Be the first to review Genmo!
Pricing
Is Genmo free? Yes, there is a free plan.
Free$0
- ✓Playground access
- ✓limited generations
- ✓Mochi model
ProCustom
- ✓API access
- ✓higher volume
- ✓priority support
Self-hostedFree model weights
- ✓Run Mochi on your own infrastructure with no per-generation cost
Prompts to Try
A slow-motion shot of a glass shattering on a marble floor, pieces scattering in every direction, studio lighting
A time-lapse of storm clouds rolling over a mountain range as lightning flashes in the distance, dramatic and cinematic
A golden retriever catching a frisbee mid-air on a sunny beach, playful and energetic, high-motion
Use Cases
A machine learning researcher downloads Mochi's open model weights, fine-tunes it on a custom dataset of underwater footage, and deploys it for marine biology visualization without paying per-generation fees
A developer builds a custom AI video generation app for their agency by integrating Genmo's API, giving clients branded access to Mochi's outputs without building a model from scratch
A technical YouTuber uses Genmo Playground to generate comparison clips across multiple prompts for a benchmark video reviewing the best open-weight AI video models of 2025
An indie game studio uses Mochi's open weights to generate cinematic cutscene concepts from text descriptions, iterating locally without cloud costs during the pre-production phase
An AI art collective runs Mochi locally on their own GPU server, generating hundreds of experimental clips for a gallery installation without per-generation API costs
A university computer science department integrates Genmo's model into their curriculum to teach students about diffusion-based video generation through hands-on generation exercises
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