GE
Genmo
Video model · United States ·Oct 2024

Mochi 1

Video Open (Restricted)
10B
Parameters

About Mochi 1

Mochi 1 is an AI model developed by Genmo, in the video category, released in 2024, made available as an open-weights model with 10B params.

On this page you'll find Mochi 1's full specifications. Review provider pricing and benchmark scores below, or compare Mochi 1 head-to-head with other video models.

→ More models by Genmo → All video models → AI benchmarks leaderboard

Links

Announcement ↗

Run Mochi 1 locally — what fits

GPUs with enough VRAM to hold Mochi 1 at FP16 (lower precision needs less), from best value to most headroom. Generation speed depends on your tool, resolution and step count, so we don't estimate it.

Good
AMD Radeon RX 7900 XTX
Consumer GPU · ~$999
24 GB VRAM
fits at FP16 · ~0.6 GB headroom
See fit detail →
Better
AMD Ryzen AI Max+ 395
Consumer GPU · ~$1,999
128 GB VRAM
fits at FP16 · ~93.7 GB headroom
See fit detail →
Best
Apple M2 Ultra 192GB
Apple · ~$6,600
192 GB VRAM
fits at FP16 · ~151.3 GB headroom
See fit detail →

VRAM fit only — we don't estimate generation speed for image/video/audio models (it depends on the tool, resolution and steps).

Consumer GPU
9 options that fit
→
Apple
17 options that fit
→
Datacenter GPU
13 options that fit
→

Community

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Discussion

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Frequently asked questions

What is Mochi 1? ▶

Mochi 1 is an AI model developed by Genmo, in the video category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Mochi 1? ▶

Mochi 1 was developed by Genmo and released in 2024.

Is Mochi 1 open source or proprietary? ▶

Mochi 1 ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does Mochi 1 cost? ▶

Pricing for Mochi 1 depends on the provider. See the providers table on this page for the latest API rates.

How does Mochi 1 perform on benchmarks? ▶

Benchmark scores for Mochi 1 are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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