Mochi 1 is video generation AI model developed by Genmo. Genmo's 10B open-weights text-to-video model. AsymmDiT architecture, 5.4s @ 480p. Access it through Railwail's unified, OpenAI-compatible API at €0.000 per 1M input tokens.

How much does Mochi 1 cost via Railwail?

No monthly minimum, no subscription. Start with €5 free credits.

What is the context window of Mochi 1?

Mochi 1 supports a unknown context window — enough for typical AI workloads.

Latency depends on prompt length and load — typically 200ms to 2s for short prompts. We measure p50/p95 in real-time on /rankings.

Is Mochi 1 better than Google Veo 2?

It depends on your use case. Mochi 1 (Genmo) and Google Veo 2 (Google DeepMind) are both strong choices in video generation. Compare them side-by-side at /compare/mochi-1-genmo-vs-google-veo-2.

Mochi 1

Name: Mochi 1
Brand: Replicate
SKU: mochi-1-genmo
Availability: InStock

Genmo

Video Generation

Genmo's 10B open-weights text-to-video model. AsymmDiT architecture, 5.4s @ 480p.

Queue video with Mochi 1

Video generation runs asynchronously — we'll queue a job and you can track it in your history.

Generates as an async job — typically 30 s to 2 min.

TL;DR·Last updated May 16, 2026

Mochi 1 is video generation AI model from Genmo, priced at €0.000 per 1M input tokens with a unknown context window.

Try Mochi 1

Prompt

Duration

Aspect Ratio

Pricing

Price per Generation

Per generationFree

API Integration

Use our OpenAI-compatible API to integrate Mochi 1 into your application.

Install

npm install railwail

JavaScript / TypeScript

import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

// Simple — just pass a string
const reply = await rw.run("mochi-1-genmo", "Hello! What can you do?");
console.log(reply);

// With message history
const reply2 = await rw.run("mochi-1-genmo", [
  { role: "system", content: "You are a helpful assistant." },
  { role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);

// Full response with usage info
const res = await rw.chat("mochi-1-genmo", [
  { role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);

Specifications

Developer

Genmo

Deep dive — Genmo's Mochi 1

About Genmo

Founded 2023 · San Francisco, USA

Genmo was founded in 2023 by Paras Jain (CEO) and Ajay Jain (CTO), both PhDs from UC Berkeley's BAIR lab, with a focus on open-source generative video. The company released the early Replay product and the smaller GEN-1 video model before launching Mochi 1 in October 2024 as a 10B-parameter open-weight text-to-video model under the Apache 2.0 licence -- at the time the largest open-source video model with a fully permissive licence. Genmo positions Mochi 1 as a research foundation for the community to fine-tune, extend and study, in deliberate contrast to closed competitors. The company has raised over $30M from investors including NEA and the Y Combinator network.

Visit Genmo →

Architecture

Asymmetric Diffusion Transformer (AsymmDiT) at 10B parameters with custom 3D VAE

Mochi 1 is a 10B-parameter Asymmetric Diffusion Transformer (AsymmDiT) operating on a high-compression 3D causal Variational Autoencoder. The 'asymmetric' design uses dramatically more parameters for the video stream than for the text stream while sharing self-attention, on the hypothesis that visual modeling is the bottleneck for video generation. Position information uses 3D RoPE; the model is trained with Rectified Flow Matching at full resolution and high motion intensity. Text conditioning uses a T5-XXL encoder. Mochi 1 generates 5-second clips at 480p / 30 fps natively (with a 720p HD variant in preview at launch). Training is done on a curated, filtered video corpus with dense captions produced by an in-house captioner. The team explicitly report ablations on resolution scheduling, motion intensity filtering and caption quality.

Parameters: 10 billion
Context: unknown

What it can do