Genmo website screenshot

Genmo

Genmo is a San Francisco research lab building open-source video generation models. Its flagship release, Mochi 1, is an Apache-2.0 licensed 10B-parameter text-to-video diffusion model (AsymmDiT architecture) with strong prompt adherence and high-fidelity motion. Genmo does NOT publish a first-party hosted developer REST API. Programmatic access to Mochi comes in three honest forms: (1) the open-source model itself, self-hosted via the repo's Python pipeline ("simple composable API"), CLI, Gradio UI, or ComfyUI; (2) third-party hosted inference APIs from partners such as Replicate and fal.ai; and (3) a credit-based consumer web app and Playground at genmo.ai/play. The endpoints documented here for hosted access are modeled from partner documentation and are not operated by Genmo.

Genmo publishes 3 APIs on the APIs.io network. Tagged areas include Video Generation, AI Video, Generative AI, Text-to-Video, and Open Source.

Genmo’s developer surface includes documentation, engineering blog, and 5 more developer resources.

14.4/100 emerging ▬ flat Agent 0/100 human only Front door AI 3/6 light saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0
AccessFreemium
3 APIs
Video GenerationAI VideoGenerative AIText-to-VideoOpen SourceMochiDiffusion Model

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/genmo-ai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 3

Individual APIs this provider publishes. MODELED: a real API behind a partner or contract gate; there is no public reference, so API Evangelist drew its shape. NOT AN API: a product area with no API behind it, not counted.

Mochi 1 on Replicate (Third-Party Hosted)

Third-party hosted access to Genmo's Mochi 1 via Replicate's predictions API (model identifier genmoai/mochi-1). Runs on Nvidia H100 hardware, ~$0.42 per run, typically completi...

MODELED, NO PUBLIC REFERENCE

Mochi v1 on fal.ai (Third-Party Hosted)

Third-party hosted access to Mochi via fal.ai (model identifier fal-ai/mochi-v1), using fal's queue API - submit with prompt, negative_prompt, seed, enable_prompt_expansion, and...

MODELED, NO PUBLIC REFERENCE

Genmo Mochi Pipeline (Self-Hosted OSS)

The first-party access surface is the open-source model itself. The Mochi repo (Apache-2.0) ships a "simple composable API" in Python - MochiSingleGPUPipeline built from T5Model...

MODELED, NO PUBLIC REFERENCE

Pricing Plans 1

Published pricing tiers and plan structures.

Resources

Documentation 1

Reference material describing how the API behaves

Build 1

SDKs, sample code, and the tooling you integrate with

Commercial 1

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: genmo-ai
url: https://raw.githubusercontent.com/api-evangelist/genmo-ai/refs/heads/main/apis.yml
name: Genmo
kind: company
description: 'Genmo is a San Francisco research lab building open-source video generation models. Its flagship release, Mochi
  1, is an Apache-2.0 licensed 10B-parameter text-to-video diffusion model (AsymmDiT architecture) with strong prompt adherence
  and high-fidelity motion. Genmo does NOT publish a first-party hosted developer REST API. Programmatic access to Mochi comes
  in three honest forms: (1) the open-source model itself, self-hosted via the repo''s Python pipeline ("simple composable
  API"), CLI, Gradio UI, or ComfyUI; (2) third-party hosted inference APIs from partners such as Replicate and fal.ai; and
  (3) a credit-based consumer web app and Playground at genmo.ai/play. The endpoints documented here for hosted access are
  modeled from partner documentation and are not operated by Genmo.'
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/genmo-ai.png
tags:
- Video Generation
- AI Video
- Generative AI
- Text-to-Video
- Open Source
- Mochi
- Diffusion Model
tags_raw:
- Video Generation
- AI Video
- Generative AI
- Text-to-Video
- Open Source
- Mochi
- Diffusion Model
- Open-Source
created: '2026-07-11'
modified: '2026-07-25'
specificationVersion: '0.23'
apis:
- aid: genmo-ai:genmo-ai-mochi-replicate-api
  name: Mochi 1 on Replicate (Third-Party Hosted)
  tags:
  - Video Generation
  - Text-to-Video
  - Hosted Inference
  - Third Party
  tags_raw:
  - Video Generation
  - Text-to-Video
  - Hosted Inference
  - Third Party
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://replicate.com/genmoai/mochi-1
  baseURL: https://api.replicate.com/v1
  properties:
  - url: https://replicate.com/genmoai/mochi-1
    type: Documentation
  - url: https://replicate.com/genmoai/mochi-1/api
    type: APIReference
  endpointsModeled: true
  description: Third-party hosted access to Genmo's Mochi 1 via Replicate's predictions API (model identifier genmoai/mochi-1).
    Runs on Nvidia H100 hardware, ~$0.42 per run, typically completing within 5 minutes at 480p. Invoked through Replicate's
    standard async prediction pattern - POST a prediction with the model version and inputs, poll or receive a webhook, then
    fetch the output video URL. This API is operated by Replicate, not Genmo; endpoints are modeled from Replicate's platform
    documentation.
- aid: genmo-ai:genmo-ai-mochi-fal-api
  name: Mochi v1 on fal.ai (Third-Party Hosted)
  tags:
  - Video Generation
  - Text-to-Video
  - Hosted Inference
  - Third Party
  tags_raw:
  - Video Generation
  - Text-to-Video
  - Hosted Inference
  - Third Party
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://fal.ai/models/fal-ai/mochi-v1
  properties:
  - url: https://fal.ai/models/fal-ai/mochi-v1/api
    type: APIReference
  endpointsModeled: true
  description: Third-party hosted access to Mochi via fal.ai (model identifier fal-ai/mochi-v1), using fal's queue API - submit
    with prompt, negative_prompt, seed, enable_prompt_expansion, and num_frames, then check status and fetch the resulting
    video URL. NOTE - as of the review date fal.ai lists this endpoint as deprecated / no longer supported. This API is operated
    by fal.ai, not Genmo; endpoints are modeled from fal's documentation and retained for discoverability.
- aid: genmo-ai:genmo-ai-mochi-pipeline-api
  name: Genmo Mochi Pipeline (Self-Hosted OSS)
  tags:
  - Video Generation
  - Text-to-Video
  - Open Source
  - Self-Hosted
  tags_raw:
  - Video Generation
  - Text-to-Video
  - Open Source
  - Self-Hosted
  - Open-Source
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://github.com/genmoai/mochi
  properties:
  - url: https://github.com/genmoai/mochi
    type: Documentation
  - url: https://huggingface.co/genmo/mochi-1-preview
    type: SourceCode
  - url: https://www.genmo.ai/blog/mochi-1-a-new-sota-in-open-text-to-video
    type: Blog
  endpointsModeled: true
  description: The first-party access surface is the open-source model itself. The Mochi repo (Apache-2.0) ships a "simple
    composable API" in Python - MochiSingleGPUPipeline built from T5ModelFactory, DitModelFactory, and DecoderModelFactory
    - invoked with prompt, resolution, num_frames, inference steps, guidance scale, and seed to generate 480p video locally.
    It also provides a cli.py, a Gradio UI (gradio_ui.py), and native ComfyUI support. This is a code library / local inference
    pipeline, not a hosted network API; weights (~60GB VRAM) are downloaded from Hugging Face. There is no Genmo REST endpoint
    - self-host it or use a partner (see the Replicate and fal.ai entries).
common:
- type: GitHubOrganization
  url: https://github.com/genmoai
- type: LinkedIn
  url: https://www.linkedin.com/company/genmoai
- type: Website
  url: https://www.genmo.ai
- type: Documentation
  url: https://github.com/genmoai/mochi
- type: Playground
  url: https://www.genmo.ai/play
- type: Plans
  url: plans/genmo-ai-plans-pricing.yml
- url: https://www.genmo.ai/blog
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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