Mochi 1

researchprototypingopen-source

Genmo · Asymmetric Diffusion Transformer (AsymmDiT) · v1.0hide_sourceNo public price yet

Built for research and prototyping. Pricing is still unclear, so verify the market before committing.

—/sec

Ceiling

480p

Duration

5–5s

Price source

—

Text-to-Video

Best for

Research and prototyping

5s clips support short narrative work.

Watch out for

480p output only — significantly lower resolution than commercial competitors

Availability is narrower than the strongest alternatives.

Starting cost

No public rate

No reliable per-second starting tier is publicly documented yet.

Quick facts for AI assistants

Citation-ready model facts

These facts are generated from the current model record, provider verification metadata, and the page update timestamp.

Canonical URL: https://vidscore.dev/models/mochi-1
Current verdict: Built for research and prototyping. Pricing is still unclear, so verify the market before committing.
Verified pricing: No verified comparable API rate yet
Provider evidence: FAL.ai (Verified); Replicate (Verified)
Best fit: research, prototyping, open-source
Primary limitation: 480p output only — significantly lower resolution than commercial competitors
Last updated: 2026-04-18

Pricing

The default rate first, with provider details one click away.

2 providers, 2 tiers

No public rate

No verified public pricing yet

No public per-second rate is documented yet.

All provider rates

Expand for every tier, audio surcharge, and verification note.

2 providersexpand_more

FAL.ai

Mochi 1 · Verified · HIGH trust

Open provideropen_in_new

Text-to-Video480p

$0.40

Checked 2026-04-18

Replicate

Mochi 1 · Verified · HIGH trust

Open provideropen_in_new

Text-to-Video480p

$0.42

Checked 2026-04-18

Should you choose it?

Why pick Mochi 1, and why pass?

Use this as a sanity check before you compare it against the closest alternatives.

thumb_upWhy choose it

Fully open source under Apache 2.0 — free to use, modify, and deploy commercially
Exceptional photorealistic motion quality — realistic physics for fluid, fur, hair, and human movement
Strong prompt adherence — closely follows user instructions when prompts are clear
10B parameters make it the largest open-source video model, enabling fine-tuning for custom domains
128x latent compression (8x8 spatial, 6x temporal) enables efficient training and inference

infoWhy skip it

480p output only — significantly lower resolution than commercial competitors
Fixed ~5.4 second duration with no flexibility for shorter or longer clips
Text-to-video only — no image-to-video, video-to-video, or audio generation
Requires substantial GPU resources (4x H100) for self-hosting without optimization
ELO of 1,000 places it at the median — outperformed by most commercial models on quality

Prompt playbook

auto_fix_highStart with these three moves

Scan the quick playbook first. Open the full guide only when you need deeper do/don't rules or example prompts.

1
Anchor the scene by specifying subject, setting, time of day, and camera — Mochi excels when all four elements are explicit.
2
Define motion and pacing with terms like 'slow pan left,' 'handheld jitter,' 'smooth crane up' — the model simulates realistic physics from clear motion cues.
3
State composition and lens details: 'wide establishing shot,' 'close-up portrait,' 'macro product hero,' 'anamorphic flare, 35mm, f/2.8.'

Open the full prompt guide

Extra prompt tips, best practices, common mistakes, and example prompts.

expand_more

More tips

4Avoid contradictions — keep style and motion cues consistent; overly mixed metaphors (anime + Pixar + watercolor + photoreal) introduce artifacts.
5Iterate lightly with small prompt edits — small changes often yield big improvements; avoid rewriting everything at once.
6Photorealism is the sweet spot — stylized or animated looks may require fine-tuning or more careful prompt engineering.

✓ Do this

Use prompt expansion (enabled by default on FAL.ai) to let the model augment your description for better results
Use negative prompts to exclude unwanted elements: 'blurry, low quality, distorted, watermark'
Set a seed value for reproducibility when iterating on prompt variations
Keep prompts clear and concise — Mochi's strong prompt adherence rewards specificity over length
Focus on single continuous actions rather than complex multi-step sequences within one clip

✗ Avoid this

Output capped at 480p — not suitable for production-quality final output without upscaling
Fixed ~5.4 second duration with no option for shorter or longer clips
Text-to-video only — no image-to-video or video-to-video modes
Does not perform well with animated or stylized content — optimized for photorealism
Extreme motion scenarios may produce minor warping and distortions
Requires 4x H100 GPUs (~60GB VRAM) for self-deployment, though community optimizations reduce this to ~20GB

Example prompts

Nature / Macro

“A slow-motion close-up of a hummingbird hovering near a bright red flower, wings beating rapidly. Shallow depth of field, morning dew on the petals, soft bokeh background. Natural daylight, macro lens, 85mm f/1.4.”

Cinematic / Urban

“A woman with curly hair walks through a rainy city street at twilight, holding a transparent umbrella. Neon signs reflect in puddles on the asphalt. Handheld camera, cinematic color grading, moody atmosphere.”

Landscape / Nature

“An overhead shot of ocean waves crashing against dark volcanic rocks. White foam swirls around the stone. Slow, hypnotic rhythm. Drone camera, wide angle, cool blue color palette.”

Based on the official prompt guide →

FAQexpand_more

Where can I use Mochi 1?

Via API on FAL.ai and Replicate.

How do I get good results with Mochi 1?

Anchor the scene by specifying subject, setting, time of day, and camera — Mochi excels when all four elements are explicit. See the prompt guide below.