OpenAIGPT Image 2.6 Sunburst API

Name: GPT Image 2.6 Sunburst API
Price: 40 USD
Author: OpenAI

GPT Image 2.6 Sunburst — base tier tuned by reasoning effort and temperature rather than quality. Strong text rendering and complex layouts.

Prompt

Source Images

0/16 images

Resolution

Aspect ratio

Billed at this model’s published rate.

Result

Your generations will appear here

Other models from OpenAI

Same vendor, same API call — the differences are below.

Model	Use case	Price	Resolution	Duration	Added
GPT-6.1 Sol	Image → Text	from $0.10 / 1M cached in	—	—	Oct 2026
GPT-6.1 Terra	Image → Text	from $0.05 / 1M cached in	—	—	Oct 2026
GPT Image 2.6 Flare	Text → Image	No rate	1K · 2K · 4K	—	Oct 2026
GPT-6 Luna	Image → Text	from $0.011 / 1M cached in	—	—	Sep 2026
GPT-6 Sol	Image → Text	from $0.22 / 1M cached in	—	—	Sep 2026
GPT-4.1 Mini	Image → Text	from $0.44 / gen	—	—	Sep 2026
GPT-4.1 Nano	Image → Text	from $0.11 / gen	—	—	Sep 2026
GPT-4o	Image → Text	from $2.75 / gen	—	—	Sep 2026

Install the SDK

TypeScript targets Node 20+ and ships with types; Python needs 3.10+ and is async. Over REST there is nothing to install: call https://api.picsart.com from any HTTP client.

bash

npm install @picsart/ai-sdk

Authenticate

Send your Picsart API key as a bearer token. The SDK does it for you once the client is created.

import { createClient } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY, // sent as: Authorization: Bearer <key>
  apiUrl: 'https://api.picsart.com',
});

python

import os

from picsart_ai_sdk import create_client

ai = create_client(
    api_key=os.environ["PICSART_API_KEY"],  # sent as: Authorization: Bearer <key>
    api_url="https://api.picsart.com",
)

Make a request

Call the model by its id. Over REST, one endpoint serves every model: POST /workflows/v1/models/execute with the model id and its input in the body. The outer params is the envelope every workflow takes; the inner one is this model's input, with the same names generate() takes.

import { createClient } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

const result = await ai.generate('gpt-image-2.6-flare', {
  prompt: "A serene mountain lake at golden hour, ultra detailed",
  aspectRatio: "1:1",
  resolution: "1K"
});

console.log(result.url); // image URL

python

import asyncio
import os

from picsart_ai_sdk import create_client


async def main() -> None:
    async with create_client(
        api_key=os.environ["PICSART_API_KEY"],
        api_url="https://api.picsart.com",
    ) as ai:
        result = await ai.generate("gpt-image-2.6-flare", {
            "prompt": "A serene mountain lake at golden hour, ultra detailed",
            "aspectRatio": "1:1",
            "resolution": "1K",
        })

        print(result.url)  # image URL


asyncio.run(main())

bash

curl -X POST 'https://api.picsart.com/workflows/v1/models/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "model": "gpt-image-2.6-flare",
    "params": {
      "prompt": "A serene mountain lake at golden hour, ultra detailed",
      "aspectRatio": "1:1",
      "resolution": "1K"
    }
  }
}'

Parameters

10 parameters, the same for the SDK and for the inner params over REST. Required ones must be supplied; the rest fall back to their defaults.

Parameter	Type	Required	Default	Details
`prompt` What to make, in plain language: the subject, style and composition. With an input image or video, what to change.	`text`	yes	`—`	max 32000 chars
`aspectRatio` Shape of the output as width:height. An auto or adaptive option follows the input image.	`enum`	no	`1:1`	1:1, 3:2, 2:3, 16:9, 9:16, 4:3, 3:4, auto (follows the input)
`resolution` Output size. Higher costs more and takes longer.	`enum`	no	`1K`	1K, 2K, 4K
`size` Custom Size	`text`	no	`—`	e.g. "WIDTHxHEIGHT, e.g. 2048x1152"
`reasoningEffort` Reasoning Effort	`enum`	no	`high`	max, xhigh, high, medium, low
`temperature` Temperature	`range`	no	`1`	0–2 (step 0.1)
`background` Background of the image: opaque or transparent.	`enum`	no	`opaque`	opaque, transparent
`outputFormat` File format of the result.	`enum`	no	`png`	png, jpeg, webp
`count` How many results to make in one call. Each one is charged.	`enum`	no	`1`	1, 2, 4, 6, 8, 10
`imageUrls` Input images, as URLs: the image to edit, or references for subject, style or composition.	`file (image[])`	no	`—`	—

Response

generate() resolves once the job completes. One or more image URLs. Over REST the output is at response.result, inside the gateway's status envelope with the task id, its status and the amount charged.

json

{
  "items": [
    {
      "url": "https://cdn.picsart.com/…/result"
    }
  ],
  "model": "gpt-image-2.6-flare"
}

json

{
  "status": "success",
  "response": {
    "id": "task_abc123",
    "status": "COMPLETED",
    "result": {
      "url": "https://cdn.picsart.com/…/result",
      "items": [
        {
          "url": "https://cdn.picsart.com/…/result"
        }
      ],
      "model": "gpt-image-2.6-flare"
    }
  }
}

Overview

Alongside the unified model APIs, we expose compatibility APIs that take each vendor's original parameters exactly as the vendor defines them — nothing renamed, nothing reshaped on the way through.

That makes them the shortest path onto Picsart if you already work with the vendor directly: the request bodies you've already written keep working as they are. You keep their parameter names and defaults, and you get the vendor's full parameter set rather than the subset that is shared across every model.

The cost is that a request is written for one vendor — switching models later means rewriting it, and results come back in the vendor's own shape. When you'd rather write once and change models freely, use the unified API.

Make a request

Call the workflow with ai.apis.run() in TypeScript or Python, or hit /workflows/{workflow}/execute directly — params is passed through untouched either way.

These endpoints are addressed by workflow name rather than model id: the one in this model's header, since one model runs as one workflow. Authentication is unchanged — your Picsart API key as a bearer token (see Authentication).

import { createClient, ApiRunMode } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

// Calls the 'openai-images-generate' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('openai-images-generate', {
  model: "dall-e-3",
  prompt: "A serene mountain lake at golden hour, ultra detailed"
}, {
  mode: ApiRunMode.SYNC,
});

console.log(result); // workflow-specific output
console.log(usage?.credits); // amount charged, in $

python

import asyncio
import os

from picsart_ai_sdk import ApiRunMode, create_client


async def main() -> None:
    async with create_client(
        api_key=os.environ["PICSART_API_KEY"],
        api_url="https://api.picsart.com",
    ) as ai:
        # Calls the 'openai-images-generate' workflow directly — params are sent as-is.
        response = await ai.apis.run("openai-images-generate", {
            "model": "dall-e-3",
            "prompt": "A serene mountain lake at golden hour, ultra detailed",
        }, mode=ApiRunMode.SYNC)

        print(response["result"])  # workflow-specific output
        print((response.get("usage") or {}).get("credits"))  # amount charged, in $


asyncio.run(main())

bash

curl -X POST 'https://api.picsart.com/workflows/openai-images-generate/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "model": "dall-e-3",
    "prompt": "A serene mountain lake at golden hour, ultra detailed"
  }
}'

Parameters

13 parameters, sent inside params. These are the vendor's own names, so they line up one-for-one with the vendor's documentation. Required ones must be supplied; the rest fall back to their defaults.

Parameter	Type	Required	Default	Details
`model` Model to be used for image generation	`string`	yes	`—`	`dall-e-3gpt-image-1gpt-image-1.5gpt-image-2gpt-image-2.5-flaregpt-image-2.5-sunburstgpt-image-2.6-sunburstgpt-image-2.6-flare`
`prompt` Text prompt for generating the image	`string`	yes	`—`	—
`n` Number of images to generate. Note: 'dall-e-3' supports only one image per request.	`number`	no	`1`	—
`size` Size of the generated image. The size of the generated images. Must be one of 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto (default value) for gpt-image-1,and one of 1024x1024, 1792x1024, or 1024x1792 for dall-e-3. gpt-image-2.5-flare / gpt-image-2.5-sunburst additionally accept custom WIDTHxHEIGHT sizes: both sides divisible by 16, aspect ratio between 1:3 and 3:1, up to 3840x2160. The ImageGen 2.6 models (gpt-image-2.6-sunburst / gpt-image-2.6-flare) are controlled by reasoning.effort and temperature rather than quality.	`string`	no	`1024x1024`	—
`quality` Quality of the generated image. xhigh and max are only supported by the gpt-image-2.5 models. Ignored by the ImageGen 2.6 models (gpt-image-2.6-sunburst / gpt-image-2.6-flare), which are tiered by reasoning.effort instead.	`string`	no	`high`	`lowmediumhighxhighmax`
`output_format` Output format of the generated image.	`string`	no	`png`	`pngwebpjpeg`
`output_compression` Output compression of the generated image.	`number`	no	`100`	0–100
`moderation` Moderation of the generated image.	`string`	no	`auto`	—
`background` Background of the generated image.	`string`	no	`opaque`	—
`partial_images` The number of partial images to generate. This parameter is used for streaming responses that return partial images. Value must be between 0 and 3. When set to 0, the response will be a single image sent in one streaming event.	`number`	no	`—`	—
`reasoning` Planning controls for the ImageGen 2.6 models (gpt-image-2.6-sunburst / gpt-image-2.6-flare). Ignored by the other models.	`object`	no	`—`	—
└`effort` How much the model plans before it renders. Start with high; raise for dense text or complex layouts, lower for quick, precise edits.	`string`	no	`—`	`lowmediumhighxhighmax`
`temperature` Sampling temperature for the ImageGen 2.6 models; higher values explore more variation on the same prompt. Ignored by the other models.	`number`	no	`—`	—
`options`	`object`	no	`—`	—
└`safety_checks` Safety check settings	`object`	no	`—`	—
└`enabled` Whether to run content moderation. Defaults to true.	`boolean`	no	`—`	—
└`drive` Save result to Picsart Drive	`object`	no	`—`	—
└`name` File name in Picsart Drive	`string`	yes	`—`	—
└`attributes` Custom attributes to attach to the file	`object`	no	`—`	—
└`folder` Target folder in Picsart Drive	`object`	no	`—`	—
└`inputs_transformation` Input transformation settings	`object`	no	`—`	—
└`downscale_oversized_images` Whether to downscale oversized input images. Defaults to false.	`boolean`	no	`—`	—

Response

Over HTTP the output arrives inside a status envelope, at response.result. ai.apis.run() unwraps that envelope for you and resolves to { result, usage } instead. Either way the result itself is the vendor's own shape.

json

{
  "result": {
    "created": "…",
    "data": [
      {
        "url": "https://cdn.picsart.com/…/result.jpg",
        "mimeType": "image/jpeg",
        "driveFile": {
          "id": "wf_abc123"
        }
      }
    ]
  }
}

json

{
  "status": "success",
  "response": {
    "result": {
      "created": "…",
      "data": [
        {
          "url": "https://cdn.picsart.com/…/result.jpg",
          "mimeType": "image/jpeg",
          "driveFile": {}
        }
      ]
    }
  }
}

Rates

What this model costs per generation, in USD. Every row is an exact rate — the columns are the settings that change it.

Charged after the request finishes, on what it actually used.

Tier	Rate
Output image	$40.00 / 1M output image tokens

OpenAIGPT Image 2.6 Sunburst API

Params

Result

Other models from OpenAI

Install the SDK

Authenticate

Make a request

Parameters

Response

Overview

Make a request

Parameters

Response

Rates