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DATASHEET // MOCHI-1

Mochi 1

Genmo's 10-B open-weight T2V — the first 'genuinely fluid' OSS video model.

OPEN SOURCE24–60 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeAPI
Visit Mochi 1UPDATED 2026-03-10 · DIRECT LINK
github.com/genmoai/mochi
Mochi 1 — preview image

HARDWARE REQUIREMENTS //

Runs locally · Workstation GPU (32–48 GB)

24–60 GB VRAM
Min VRAM
24 GB
Rec. VRAM
60 GB
Min RAM
32 GB
Rec. RAM
64 GB
Disk
40 GB
GPU class
Workstation GPU
12.1+No Apple SiliconGPU RequiredQuant: BF16, FP8, GGUF

FP8 fits on 24 GB; full BF16 needs an A100 / H100 class card.

[ EDITORIAL PICK ]

Why we recommend Mochi 1

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if Mochi 1 the company changes direction.

  • 3 quant formats

    Supports BF16, FP8, GGUF — you can dial VRAM use up or down to match your card.

  • Hosted API too

    Both self-hostable and available as a hosted API — prototype on someone else's GPU, deploy on yours.

  • Active momentum

    Trending hard right now — releases, papers, and community workflows are landing weekly.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

VRAM guide →

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Standard

    A standard local install — download, install dependencies, point at your GPU.

  • Hardware comfort
    Enthusiast

    Needs 24 GB minimum — RTX 3090 / 4090 territory.

  • Ecosystem
    Strong devkit

    Open-source AND ships an API — easy to integrate, possible to host yourself.

  • Verification
    Ageing

    128 days since the last catalogue refresh — flagged for re-verification.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for Mochi 1

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other heavy video generation tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of Mochi 1.

LIGHTEST HARDWARE //

Diffusers

Hugging Face's go-to library for every diffusion model.

OPEN SOURCE4–12 GB VRAM
BEST FREE OPTION //

ComfyUI

The nodal workflow engine for serious diffusion.

OPEN SOURCE6–16 GB VRAM
TOP QUALITY //

NVIDIA Cosmos

World-foundation models for physical AI.

OPEN SOURCE24–80 GB VRAM

What is Mochi 1?

Mochi 1 is Genmo's flagship open-weight text-to-video model. 10B parameters, Apache 2.0 license, generates 5.4-second 480p clips with motion fluidity that approaches closed models. Steep VRAM requirement at full precision; FP8 / GGUF ports run on a single 24 GB consumer card.

Pros & cons

✓ PROS

  • Best fluid motion of any open-weight video model at launch
  • Apache 2.0 — no Community License revenue clauses
  • FP8 / GGUF ports drop it onto consumer GPUs

– CONS

  • Full BF16 needs 60+ GB VRAM (datacenter-class)
  • 5.4-second clip cap is short

What's actually free?

Apache 2.0 — fully commercial-friendly.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

Wan 2.2

Open-weight video diffusion from Alibaba.

OPEN SOURCE12–48 GB VRAM
VRAM fit12–48 GB

HunyuanVideo

13B open-weight cinematic text-to-video.

OPEN SOURCE24–48 GB VRAM
VRAM fit24–48 GB

LTX-Video

Real-time-ish open video diffusion from Lightricks.

OPEN SOURCE12–16 GB VRAM
VRAM fit12–16 GB

CogVideoX 5B

Open-source text-to-video diffusion from THUDM.

OPEN SOURCE12–24 GB VRAM
VRAM fit12–24 GB