Gemini 3.6 Flash Search API — pricing and integration

API pricing in USD

Creator −10% prices are 10% lower than Studio Creator generation costs converted to USD. Models available only through the API have separate API pricing. A request or character-range tier is the full cost for its exact settings; image and second units are multiplied by count or duration. Token rates apply only where explicitly listed. Missing or expired prices are unavailable, not free.

API pricing

Supported API parameters

{
  "additionalProperties": false,
  "max_reference_images": 0
}

The published contract allows up to 0 image references. Use only the reference fields and roles documented for this model; this limit does not imply support for other media types.

Integrate this model

Point API uses its own REST JSON contract and asynchronous generation resources. Keep API keys on your server, not in public frontend code.

1. Read GET /v1/models and select the exact model ID, supported input fields and published price tier.
2. Create a model-authorized API key in your workspace and ensure your USD balance covers the request.
3. Send REST JSON to POST /v1/generations with Authorization: Bearer and an Idempotency-Key. Reuse that key only with the same request body when retrying the same operation.
4. Poll GET /v1/generations/{id} using the same returned generation ID. An accepted request is asynchronous; if its state is unknown, keep checking that ID instead of creating a new paid generation.

POST https://pointgpt.io/v1/generations
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json
Idempotency-Key: YOUR_UNIQUE_REQUEST_ID

{
  "model": "gemini-3.6-flash-search",
  "input": {
    "prompt": "Write a brief welcome message for a new project."
  }
}

The initial response confirms acceptance, not a completed result. Inspect the returned state and result on the same generation resource. Supported output and media access depend on the model and your account permissions.

cURL / Python

POINT_API_KEY · POINT_REQUEST_ID

cURL

curl https://pointgpt.io/v1/generations \
  -H "Authorization: Bearer $POINT_API_KEY" \
  -H 'Content-Type: application/json' \
  -H "Idempotency-Key: $POINT_REQUEST_ID" \
  --data-raw '{
  "model": "gemini-3.6-flash-search",
  "input": {
    "prompt": "Write a brief welcome message for a new project."
  }
}'

Python

import json
import os
from urllib.request import Request, urlopen

payload = json.loads('{\n  "model": "gemini-3.6-flash-search",\n  "input": {\n    "prompt": "Write a brief welcome message for a new project."\n  }\n}')
request = Request('https://pointgpt.io/v1/generations', method='POST',
    data=json.dumps(payload).encode('utf-8'),
    headers={
        'Authorization': 'Bearer ' + os.environ['POINT_API_KEY'],
        'Content-Type': 'application/json',
        'Idempotency-Key': os.environ['POINT_REQUEST_ID'],
    })
with urlopen(request, timeout=60) as response:
    job = json.load(response)
print(job['id'])

API questions

Related models