Inference Logoinference shell

Gemini 3 Pro Image

Gemini 3 Pro Image (NanoBanana Pro) via Vertex AI - Advanced image generation model powered by Google Cloud

text to imageimage editing
run in browser →run via API
run with your agent
# install belt
$curl -fsSL https://cli.inference.sh | sh
# sign in (or set INFERENCE_API_KEY on a headless machine)
$belt login
# view schema & details
$belt app get google/gemini-3-pro-image
# run
$belt app run google/gemini-3-pro-image --input '{"prompt":"prompt"}'
maker
google
category
image
input → output
text → image
price
$0.134/image (1K/2K), $0.24/image (4K), +$0.0011/input image, +$0.014/search
runs via
api, javascript and python sdk, belt cli, mcp
updated
2026-05-29

api reference

about

gemini 3 pro image (nanobanana pro) via vertex ai - advanced image generation model powered by google cloud

1. calling the api

install the client

the client provides a convenient way to interact with the api.

bash
1pip install inferencesh

setup your api key

set INFERENCE_API_KEY as an environment variable. get your key from settings → api keys.

bash
1export INFERENCE_API_KEY="inf_your_key"

run and get result

submit a request and wait for the final result. best for batch processing or when you don't need progress updates.

python
1import os2from inferencesh import inference34client = inference(api_key=os.environ["INFERENCE_API_KEY"])567result = client.run({8        "app": "google/gemini-3-pro-image",9        "input": {10            "prompt": "prompt"11        }12    })1314print(result["output"])

stream live updates

get real-time progress updates as the task runs. ideal for showing progress bars, partial results, or long-running tasks.

python
1import os2from inferencesh import inference34client = inference(api_key=os.environ["INFERENCE_API_KEY"])567# stream=True yields updates as they arrive8for update in client.run({9        "app": "google/gemini-3-pro-image",10        "input": {11            "prompt": "prompt"12        }13    }, stream=True):14    if update.get("progress"):15        print(f"progress: {update['progress']}%")16    if update.get("output"):17        print(f"output: {update['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

the python sdk automatically detects local file paths and uploads them. urls are passed through as-is.

python
1# local file paths are automatically uploaded2result = client.run({3    "app": "google/gemini-3-pro-image",4    "input": {5        "image": "/path/to/local/image.png",  # detected & uploaded6        "audio": "https://example.com/audio.mp3",  # url passed through7    }8})

manual upload

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

python
1# upload and get a hosted URL2file = client.files.upload("/path/to/file.png")3print(file.uri)  # https://cloud.inference.sh/...

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.

python
1result = client.run({2    "app": "google/gemini-3-pro-image",3    "input": {4        "prompt": "prompt"5    },6    "webhook": "https://your-server.com/webhook"7}, wait=False)

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)
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*

the prompt for image generation or editing. describe what you want to create or change.

imagesarray

optional list of input images for editing (up to 14 images). when provided, the model will edit these images based on the prompt. when not provided, the model will generate new images from the text prompt. supported formats: jpeg, png, webp

num_imagesinteger

number of images to generate.

default: 1min:1max:4
aspect_ratiostring

aspect ratio for the output image. use 'auto' to automatically match the first input image's aspect ratio. default: 1:1

default: "1:1"
options:"auto""21:9""16:9""3:2""4:3""5:4""1:1""4:5""3:4""2:3""9:16"
resolutionstring

output resolution. options: 1k, 2k, 4k. default: 1k

default: "1K"
options:"1K""2K""4K"
output_formatstring

output format for the generated images.

default: "png"
options:"png""jpeg""webp"
enable_google_searchboolean

enable google search grounding for real-time information (weather, news, etc.)

default: false
safety_tolerancestring

safety filter threshold. options: block_none, block_low_and_above, block_medium_and_above, block_only_high

default: "BLOCK_NONE"
options:"BLOCK_NONE""BLOCK_LOW_AND_ABOVE""BLOCK_MEDIUM_AND_ABOVE""BLOCK_ONLY_HIGH"
retry_countinteger

number of automatic retries on 429 rate limit errors using exponential backoff with jitter. set to 0 to disable retries. example: retry_count=2 means up to 3 total attempts (1 initial + 2 retries).

default: 2min:0max:5

output

descriptionstring

text description or response from the model

imagesarray*

the generated or edited images

other image apps

Gemini Nano Banana 2.1

google/gemini-nano-banana-2-1

$1.50/M input, $0.0336–$0.1134/image (1K–4K), +$0.014/query Google Search

Grok Imagine Image 2.0

xai/grok-imagine-image-2-0

$0.04/img low 1k, $0.06/img low 2k, $0.06/img med 1k, $0.08/img med 2k; $0.01/source img (edits)

GPT Image 2.5 Sunburst

openai/gpt-image-2-5-sunburst

$0.006-$0.21 per 1024x1024 image: low $0.006, medium $0.013, high $0.053, xhigh $0.094, max $0.21. Larger sizes cost more; edits add ~$0.008 per reference image.

GPT Image 2.5 Flare

openai/gpt-image-2-5-flare

$0.006-$0.21/image at 1024x1024: low $0.0059, medium $0.0132, high $0.0527, xhigh $0.0937, max $0.2107. Larger sizes cost more; edits add ~$0.0083 per reference image.

Image Resize & Crop

eval/resize

from $0.00000277/sec

more from google

Google Analytics

google/analytics

from $0.00000277/sec

Google Search Console

google/search-console

from $0.00000277/sec

Gemini 4 Argon

google/gemini-4-argon

$2.00/M input, $10.00/M output

Gemini Nano Banana 2.1

google/gemini-nano-banana-2-1

$1.50/M input, $0.0336–$0.1134/image (1K–4K), +$0.014/query Google Search

new models

  1. Google Analytics

    google/analytics

    otherfrom $0.00000277/sec

  2. Google Search Console

    google/search-console

    otherfrom $0.00000277/sec

  3. Fish Audio Drama 3

    fish-audio/drama-3

    audio$50.00/1M UTF-8 bytes

  4. Gemini 4 Argon

    google/gemini-4-argon

    chat$2.00/M input, $10.00/M output

  5. GPT-6 Sol

    openai/gpt-6-sol

    chat$2.00/M input, $0.20/M cached input, $10.00/M output

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