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Mochi 1

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An open-source text-to-video model

A 10-billion-parameter open-source text-to-video generation model released by Genmo under the Apache 2.0 license.

Text to VideoOpen sourceAPI availableCommercial use OK
Edge

vs. similar tools: An open-source model with published weights you can self-host on your own GPU and use freely for commercial purposes.

Overview

At a glance

  • Apache 2.0 license lets you use clips commercially without restrictions
  • Open weights mean you can self-host it on your own GPU
  • Outputs carry no watermark, leaving post-production open
  • Recommended H100-class 60GB VRAM raises the entry barrier
  • Clips cap at 5 seconds and 480p, so they are short and low-res
  • Best for: Researchers with their own GPUs and developers building open-source video pipelines
Read more

Mochi 1 is a 10-billion-parameter open-source text-to-video generation model released by Genmo. It turns text prompts into short video clips, and because its weights are published, it suits users who want to run the model on their own GPUs rather than depend on a hosted service. Its primary audience is researchers and developers who work with video generation at the code level.

Its biggest strengths are licensing and control. Released under Apache 2.0, it carries no restrictions on commercial use, and self-hosting keeps your data and pipeline in your own hands. Outputs leave no watermark, so they drop straight into editing and compositing. In our evaluation its value-for-money score of 90 stands out, reflecting the nature of a free open model you download and run. It also exposes an API, leaving room for automation.

The limits center on the runtime environment and output specs. The recommended setup is an H100-class GPU with roughly 60GB of VRAM, which is hard to meet on typical personal hardware. Each clip tops out at 5 seconds and 480p, making it closer to a prototyping tool than a finished-content engine.

In short, it fits users with their own GPU infrastructure who want an open model that is also free to use commercially. If you instead need high-resolution, longer footage or the convenience of a tool that works without setup, a commercial cloud video service is the better place to look.

Pricing

PlanMonthly priceLimits
Open sourceFreeRequires your own GPU; H100-class hardware recommended (about 60GB VRAM)

Specs

Max length
5s
Max resolution
480p
Watermark
None
API
Yes
Open source
Yes
Self-hosting
Available
Korean support
Not supported
Commercial use
Allowed

Popularity

Buzz and recognition on absolute thresholds

37

Absolute-threshold score

37

High confidence5/5 signals

Hacker News buzzGoogle TrendsYouTube recent resultsHugging Face downloadsGitHub starsHacker News buzz Criterion: Sum of Hacker News story points from strict title matches. Raw value: 24 pts Absolute-threshold score: 3.8/10 Updated: 2026-06-15Google Trends Criterion: Google Trends relative search interest over the past 30 days. Raw value: 53 / 100 Absolute-threshold score: 5.7/10 Updated: 2026-06-15YouTube recent results Criterion: YouTube Data API recent video search result estimate over the past 30 days. Raw value: 3 results Absolute-threshold score: 2/10 Updated: 2026-06-15Hugging Face downloads Criterion: Hugging Face model download count for configured model repositories. Raw value: 2,054 downloads Absolute-threshold score: 5.2/10 Updated: 2026-06-15GitHub stars Criterion: GitHub stargazers for the public repository, when available. Raw value: ★ 3,663 Absolute-threshold score: 7/10 Updated: 2026-06-15

Each axis maps to a 1-10 absolute threshold where 10 means broadly recognizable. Collected: 2026-06-15.

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Compare Mochi 1

Last updated: 2026-05-30

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