Mochi 1
mochi-1Genmo's Mochi 1, an open text-to-video model with high-fidelity motion built on a 10B Asymmetric Diffusion Transformer. Released under Apache 2.0, it was the largest open video model at launch and is strong on smooth, physically plausible movement.
- Price
- β $0.5041/run
- Input β output
- Text β Video
- Developer
- Genmo
- Updated
- September 23, 2026
Playground
Try Mochi 1
Input & output
This run
about $0.5041 Β· 50.41 credits
$1.5121 (151.21 credits) are reserved at the start; the actual GPU time is billed.
For accounts without a purchase: runs above 2 credits need a top-up.
New here?
10 free credits ($0.10) when you sign up with Google
Usable 24 hours after sign-up, up to 5 runs per day and at most 2 credits per run. Other sign-in methods start without credits.
Examples
Prompt
Close-up of a chameleon's eye, with its scaly skin changing color. Ultra high resolution 4k.
Length: 0:05
Settings
- num_frames
- 121
- fps
- 24
Prompt
A pristine snowglobe featuring a winter scene sits peacefully. The globe violently explodes, sending glass, water, and glittering fake snow in all directions. The scene is captured with high-speed photography.
Length: 0:05
Settings
- num_frames
- 121
- fps
- 24
Prompt
The video opens with a close-up of a woman in a white and purple outfit, holding a glowing purple butterfly. She has dark hair and walks gracefully through a traditional Japanese-style village at night
Length: 0:05
Settings
- num_frames
- 121
- fps
- 24
About Mochi 1
Mochi 1 is a model by Genmo in the Video generation category. On Railwail, Mochi 1 costs β $0.5041 per run.
Pricing
| Typical run (β 275 s on H100) | $0.5041 per run |
|---|---|
| GPU time (H100) | $0.00183 per GPU second |
- Billed by the GPU time the run actually takes. When the run starts, 3Γ the typical price is reserved from your balance and settled afterwards.
- 1 credit = $0.01
Cost calculator
Price calculator
Typical according to the provider: about 275.4 s
Total
$50.41
5,041 credits
Per run
$0.5041 Β· 50.41 credits
Billed by the actual GPU time; this is an estimate.
API
curl https://railwail.com/api/v1/videos/generations \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mochi-1",
"prompt": "A slow drone shot over a misty pine forest at sunrise"
}'
# Response: {"job_id": "...", "status": "queued", ...}
# Poll until status is completed, failed or cancelled:
curl https://railwail.com/api/v1/jobs/JOB_ID \
-H "Authorization: Bearer $RAILWAIL_API_KEY"import os
import time
import requests
API = "https://railwail.com/api/v1"
headers = {"Authorization": f"Bearer {os.environ['RAILWAIL_API_KEY']}"}
job = requests.post(
f"{API}/videos/generations",
headers=headers,
json={
"model": "mochi-1",
"prompt": "A slow drone shot over a misty pine forest at sunrise",
},
).json()
while True:
status = requests.get(f"{API}/jobs/{job['job_id']}", headers=headers).json()
if status["status"] in ("completed", "failed", "cancelled"):
break
time.sleep(5)
print(status["status"], status.get("output_url"))const API = "https://railwail.com/api/v1";
const headers = {
Authorization: `Bearer ${process.env.RAILWAIL_API_KEY}`,
"Content-Type": "application/json",
};
const job = await fetch(`${API}/videos/generations`, {
method: "POST",
headers,
body: JSON.stringify({
model: "mochi-1",
prompt: "A slow drone shot over a misty pine forest at sunrise"
}),
}).then((r) => r.json());
let status;
do {
await new Promise((r) => setTimeout(r, 5000));
status = await fetch(`${API}/jobs/${job.job_id}`, { headers }).then((r) => r.json());
} while (!["completed", "failed", "cancelled"].includes(status.status));
console.log(status.status, status.output_url);Videos run asynchronously: the first call returns a job_id; query /api/v1/jobs/JOB_ID until the status is completed.
Specifications
- Model ID
mochi-1- Developer
- Genmo
- Category
- Video generation
- Input
- Text
- Output
- Video
- Billing
- By usage (tokens or GPU time)
- Catalog entry updated
- September 23, 2026
Input parameters
Inputs and settings from the model's input schema. The example in the API section shows which of them the API accepts.
promptrequiredWhat video to generate
Type: TextDefault: βAllowed values: up to 2,000 charactersseedOptional seed for reproducibility
Type: IntegerDefault: βAllowed values: β
Tags
- replicate
- genmo
- mochi
- video
- text-to-video
- open-weights
Use cases
Frequently asked questions
What is Mochi 1?
Mochi 1 is a model by Genmo in the Video generation category. On Railwail you can call it with an API key through the Railwail API.
How much does Mochi 1 cost on Railwail?
On Railwail, Mochi 1 costs β $0.5041 per run. You are charged for what each request actually uses. Usage is paid from prepaid credits; 1 credit equals $0.01.
Which settings does Mochi 1 support?
According to its input schema, Mochi 1 knows these parameters: prompt (up to 2,000 characters) and seed.
How fast is Mochi 1?
There are not enough measured runs of Mochi 1 on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.
Is Mochi 1 better than Google Veo 3.1?
That depends on the task. Mochi 1 (Genmo) and Google Veo 3.1 (Google DeepMind) are both models in the Video generation category. The comparison page shows their prices and specifications side by side.
Compare Mochi 1 and Google Veo 3.1How do I use Mochi 1 through the API?
Create a Railwail API key and send your request with the model ID mochi-1. Code examples for curl, Python and JavaScript are in the API section of this page.
Comparable models
All in this category- HunyuanVideoTencent
Tencent's HunyuanVideo, a 13B open-weights text-to-video diffusion transformer. Produces high-motion, photorealistic clips with smooth temporal consistency and was one of the first open models to rival closed systems on motion quality.
- Google Veo 2Google DeepMind
Google's state-of-the-art video generation model. Simulates real-world physics with various visual styles.
- Google Veo 3 (Replicate)Google DeepMind
Google's Veo 3 served via Replicate. Text-to-video with native synchronized audio generation. High-fidelity motion and scene coherence in short clips.
Use Mochi 1 via the API
One API key for every model on Railwail. Usage is charged from prepaid credits, 1 credit = $0.01.