how much does Gemini Omni 1.2 Flash cost?

$0.0232/sec 360p, $0.0695/sec 720p, $0.1043/sec 1080p, $0.2085/sec 4K, plus $1.50/M input and $9.00/M thinking tokens. you pay per run from your inference shell credits. no subscription is required.

how do I run Gemini Omni 1.2 Flash via api?

call google/gemini-omni-1-2-flash with the javascript or python sdk, the rest api, or `belt app run google/gemini-omni-1-2-flash` from a terminal. the api reference on this page lists every input.

who makes Gemini Omni 1.2 Flash?

Gemini Omni 1.2 Flash is made by google and runs on inference shell. every google app is listed at https://inference.sh/apps/google.

can my agent use Gemini Omni 1.2 Flash?

yes. agents call it as a tool through the inference shell mcp server (https://api.inference.sh/mcp), the belt cli or the sdk, and pay per run like you do.

what are the alternatives to Gemini Omni 1.2 Flash?

other video apps on inference shell include VACE, P-Video-Animate, P-Video-Upscale, P-Video-2-Pro-Avatar. they run through the same api, so switching is a one-line change.

Gemini Omni 1.2 Flash

Gemini Omni 1.2 Flash. 3 to 15 second videos with native audio from text, an image, first and last frames, or up to 6 reference images. 360p to 4K.

text to video image to video first last frame reference to video native audio

run in browser →run via API run with your agent

maker: google
category: video
input → output: text → video, image → video, reference → video
runs via: api, javascript and python sdk, belt cli, mcp
updated: 2026-11-06
price: $0.0232/sec 360p, $0.0695/sec 720p, $0.1043/sec 1080p, $0.2085/sec 4K, plus $1.50/M input and $9.00/M thinking tokens

api reference

about

gemini omni 1.2 flash. 3 to 15 second videos with native audio from text, an image, first and last frames, or up to 6 reference images. 360p to 4k.

get an api key

create one in settings → api keys. the examples read it from INFERENCE_API_KEY.

bash

1export INFERENCE_API_KEY="inf_your_key"

1. calling the api

install the client

nothing to install. any http client works; the examples use curl, and jq to read responses. every response wraps its result in a data field.

run and get result

send "wait": true to hold the connection until the task finishes. without it the call returns right away with the task still running.

bash

12# "wait": true holds the connection until the task finishes.3# the response is {"data": {"id", "status", "status_text", "output", ...}}4curl -X POST https://api.inference.sh/apps/run \5  -H "Authorization: Bearer $INFERENCE_API_KEY" \6  -H "Content-Type: application/json" \7  -d '{8    "app": "google/gemini-omni-1-2-flash",9    "input": {10      "prompt": "prompt"11    },12    "wait": true13  }'

stream live updates

get real-time progress updates as the task runs. ideal for showing progress bars, partial results, or long-running tasks. send "stream": true and the response is a server-sent event stream that ends when the task does.

bash

12# "stream": true answers with server-sent events until the task finishes3curl -N -X POST https://api.inference.sh/apps/run \4  -H "Authorization: Bearer $INFERENCE_API_KEY" \5  -H "Content-Type: application/json" \6  -d '{7    "app": "google/gemini-omni-1-2-flash",8    "input": {9      "prompt": "prompt"10    },11    "stream": true12  }'

run in the background

start the task and get its id back right away, then check on it later. for long tasks, or when you'd rather be called back, see webhooks.

bash

1# without "wait" the call returns the task right away (status 1, "received")2TASK_ID=$(curl -s -X POST https://api.inference.sh/apps/run \3  -H "Authorization: Bearer $INFERENCE_API_KEY" \4  -H "Content-Type: application/json" \5  -d '{6    "app": "google/gemini-omni-1-2-flash",7    "input": {8      "prompt": "prompt"9    }10  }' | jq -r '.data.id')1112# later: read its state. done when status is 10 (completed), 11 (failed) or 12 (cancelled)13curl -s https://api.inference.sh/tasks/$TASK_ID \14  -H "Authorization: Bearer $INFERENCE_API_KEY" | jq '.data | {status, status_text, output}'

2. authentication

the api uses api keys for authentication. see the authentication docs for detailed setup instructions.

3. files

file inputs are automatically handled by the sdk. you can pass local paths, urls, or base64 data.

automatic upload

pass urls directly or use data uris for inline content.

bash

1# pass URLs or data URIs as input values2curl -X POST https://api.inference.sh/apps/run \3  -H "Authorization: Bearer $INFERENCE_API_KEY" \4  -H "Content-Type: application/json" \5  -d '{6    "app": "google/gemini-omni-1-2-flash",7    "input": {8      "image": "https://example.com/image.png",9      "audio": "data:audio/mp3;base64,..."10    },11    "wait": true12  }'

manual upload

you can also upload files manually and use the returned url.

bash

1# 1. create the file: the response has an upload_url and the file's uri2FILE=$(curl -s -X POST https://api.inference.sh/files \3  -H "Authorization: Bearer $INFERENCE_API_KEY" \4  -H "Content-Type: application/json" \5  -d '{"files": [{"filename": "image.png", "content_type": "image/png"}]}')67# 2. PUT the bytes to upload_url8curl -X PUT "$(echo "$FILE" | jq -r '.data[0].upload_url')" \9  -H "Content-Type: image/png" \10  --data-binary @image.png1112# 3. pass the uri as an input value13echo "$FILE" | jq -r '.data[0].uri'

4. webhooks

get notified when a task completes by providing a webhook url. when the task reaches a terminal state (completed, failed, or cancelled), a POST request is sent to your url with the task result.

bash

1curl -X POST https://api.inference.sh/apps/run \2  -H "Authorization: Bearer $INFERENCE_API_KEY" \3  -H "Content-Type: application/json" \4  -d '{5    "app": "google/gemini-omni-1-2-flash",6    "input": {7        "prompt": "prompt"8    },9    "webhook": "https://your-server.com/webhook"10  }'

webhook payload

your endpoint receives a JSON POST with the task result:

json

1{2  "event": "task.completed",3  "timestamp": "2024-01-15T10:30:05Z",4  "data": {5    "id": "task_abc123",6    "short_id": "abc123",7    "status": 10,8    "status_text": "completed",9    "output": { ... },10    "created_at": "2024-01-15T10:30:00Z",11    "updated_at": "2024-01-15T10:30:05Z"12  }13}

eventstringtask.completed, task.failed or task.cancelled

timestampstringiso timestamp of the delivery

data.idstringtask id

data.short_idstringshort task id

data.statusnumberterminal status (10=completed, 11=failed, 12=cancelled, 13=rejected)

data.status_textstringthe status as a word: completed, failed or cancelled

data.outputobjecttask output (when completed)

data.errorstringerror message (when failed, omitted otherwise)

data.session_idstringsession id (when the task ran in a session, omitted otherwise)

data.created_atstringiso timestamp

data.updated_atstringiso timestamp

5. schema

input

promptstring*

what the video shows: scene, camera movement, lighting, mood and audio. put exclusions in the prompt too (for example 'no dialogue').

imagestring(file)

image to animate. it becomes the starting frame of the video.

last_framestring(file)

ending frame. needs image as the starting frame; the video transitions between the two. durations up to 10 seconds.

reference_imagesarray

up to 6 reference images that keep characters, objects or style consistent (up to 3 images per character for up to 2 characters).

aspect_ratiostring

16:9 for landscape, 9:16 for portrait.

default: "16:9"

options:"16:9""9:16"

resolutionstring

output resolution. 1080p and 4k are upscaled.

default: "720p"

options:"360p""720p""1080p""4k"

durationinteger

video length in seconds, 3 to 15.

default: 10min:3max:15

output

videostring(file)*

the generated video (mp4 with audio)

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from the blog

Gemini Omni 1.2 Flash

api reference

about

get an api key

1. calling the api

install the client

run and get result

stream live updates

run in the background

2. authentication

3. files

automatic upload

manual upload

4. webhooks

5. schema

input

output

other video apps

more from google

new models

ready to run Gemini Omni 1.2 Flash?