1,5121Â US$ (151,21 credits) reserveres ved start; den faktiske GPU-tid faktureres.
For konti uden tidligere køb: kørsler over 2 credits krÌver en opladning.
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10 gratis credits (0,10Â US$) nĂĽr du tilmelder dig med Google
Kan bruges 24 timer efter tilmelding, op til 5 kørsler pr. dag og højst 2 credits pr. kørsel. Andre login-metoder starter uden credits.
02
Examples
Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.
Prompt
Close-up of a chameleon's eye, with its scaly skin changing color. Ultra high resolution 4k.
LĂŚngde: 0:05
Settings
num_frames
121
fps
24
Prompt
A pristine snowglobe featuring a winter scene sits peacefully. The globe violently explodes, sending glass, water, and glittering fake snow in all directions. The scene is captured with high-speed photography.
LĂŚngde: 0:05
Settings
num_frames
121
fps
24
Prompt
The video opens with a close-up of a woman in a white and purple outfit, holding a glowing purple butterfly. She has dark hair and walks gracefully through a traditional Japanese-style village at night
LĂŚngde: 0:05
Settings
num_frames
121
fps
24
03
Om Mochi 1
Kort sagtFra 23. september 2026
Mochi 1 er en model af Community i kategorien Videogenerering. PĂĽ Railwail koster Mochi 1 â 0,5041 US$ pr. kørsel. Understøttede billedformater: 16:9, 9:16 og 1:1.
Baggrund
Om Genmo
Grundlagt 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 $30M from investors including NEA and the Y Combinator network.
Asymmetric Diffusion Transformer (AsymmDiT) at 10B parameters with custom 3D VAE
Mochi 1 is a 10B-parameter Asymmetric Diffusion Transformer (AsymmDiT) operating on a high-compression 3D causal Variational Autoencoder. The 'asymmetric' design uses dramatically more parameters for the video stream than for the text stream while sharing self-attention, on the hypothesis that visual modeling is the bottleneck for video generation. Position information uses 3D RoPE; the model is trained with Rectified Flow Matching at full resolution and high motion intensity. Text conditioning uses a T5-XXL encoder. Mochi 1 generates 5-second clips at 480p / 30 fps natively (with a 720p HD variant in preview at launch). Training is done on a curated, filtered video corpus with dense captions produced by an in-house captioner. The team explicitly report ablations on resolution scheduling, motion intensity filtering and caption quality.
Parametre
10 billion
Funktioner
10B open-weight text-to-video model under Apache 2.0 (most permissive in class)
Asymmetric DiT design biased toward visual capacity
Priser i US-dollar. Forbrug debiteres fra forudbetalte credits.
Typisk kørsel (â 275 s pĂĽ H100)
0,5041 US$ pr. kørsel
GPU-tid (H100)
0,00183Â US$ pr. GPU-sekund
Faktureres efter den GPU-tid, som kørslen faktisk tager. Nür kørslen starter, reserveres 3à den typiske pris fra din saldo og afregnes efterfølgende.
1 kredit = 0,01Â US$
Omkostningsberegner
Prisberegner
s
Typisk ifølge udbyderen: ca. 275,4 s
I alt
50,41Â US$
5.041 credits
Pr. kørsel
0,5041 US$ ¡ 50,41 credits
Fakturering efter faktisk GPU-tid; dette er et estimat.
05
API
Kald Mochi 1 med din Railwail API-nøgle. Brug dette model-ID i anmodningen:
curl https://railwail.com/api/v1/videos/generations \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mochi-1-genmo",
"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-genmo",
"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-genmo",
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);
Mochi 1 er en model fra Community i kategorien Videogenerering. Pü Railwail kan du kalde den med en API-nøgle via Railwail API.
Hvad koster Mochi 1 pĂĽ Railwail?
PĂĽ Railwail koster Mochi 1 â 0,5041 US$ pr. kørsel. Du betaler for det, som hver anmodning faktisk bruger. Forbrug betales fra forudbetalte credits; 1 credit svarer til 0,01 US$.
Hvilke indstillinger understøtter Mochi 1?
Ifølge dens inputskema kender Mochi 1 disse parametre: prompt (op til 2.000 tegn), fps (8 til 30), seed, aspect_ratio (16:9, 9:16 eller 1:1), duration_sec (1 til 6) og motion_strength (0 til 1).
Hvor hurtig er Mochi 1?
Der er endnu ikke nok mülte kørsler af Mochi 1 pü Railwail til at angive en udførelsestid. Det afhÌnger af inputtet, indstillingerne og belastningen hos provideren.
Er Mochi 1 bedre end Google Veo 3.1?
Det afhĂŚnger af opgaven. Mochi 1 (Community) og Google Veo 3.1 (Google DeepMind) er begge modeller i kategorien Videogenerering. Sammenligningssiden viser deres priser og specifikationer side om side.
Opret en Railwail API-nøgle og send din anmodning med model-ID'en mochi-1-genmo. Kodeeksempler til curl, Python og JavaScript findes i API-sektionen pü denne side.
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.
