GPT Image 2.6 Sunburst API

Create images with GPT Image 2.6 Sunburst using text, images. Available resolutions: 1k / 2k / 4k. Try the current API settings, preview results and reuse your inputs.

Modalities

TextImageImage

Published

Text inputAbout 40% less than official

$3/ 1M tokens

$5 · official reference

Image inputAbout 40% less than official

$4.8/ 1M tokens

$8 · official reference

OutputAbout 40% less than official

$18/ 1M tokens

$30 · official reference

Input

API key for this model

Generation mode

Text to imageReference to image

Describe what you want to create.

prompt *

Dimensions

qualityoutput formatcountbackgroundframe countresponse formatframe duration msoutput compression

Request preview

{
  "model": "gpt-image-2.6-sunburst",
  "input": {
    "quality": "low",
    "resolution": "2k",
    "output_format": "jpeg",
    "size": "auto",
    "prompt": "A small blue ceramic cup on white."
  }
}

Output

Example output

Open original ↗

Build with this model

The example follows your Playground parameters.

curl --request POST 'https://newrouters.com/v1/tasks' \
  --header 'Content-Type: application/json' \
  --header "Authorization: Bearer $MODEL_API_KEY" \
  --data '{
  "model": "gpt-image-2.6-sunburst",
  "input": {
    "quality": "low",
    "resolution": "2k",
    "output_format": "jpeg",
    "size": "auto",
    "prompt": "A small blue ceramic cup on white."
  }
}'

Set MODEL_API_KEY in your environment. Keep your secret key on the server. Full documentation ↗

GPT Image 2.6 Sunburst pricing

Estimate one request, then choose a budget for your workflow.

Usage	Quantity	Rate	Cost
Text input	tokens	$3/ 1M	$0.003
Output	tokens	$18/ 1M	$0.009
Image input	tokens	$4.8/ 1M	$0
Cached text input	tokens	$0.75/ 1M	$0
Cached image input	tokens	$1.2/ 1M	$0

Cost per request$0.012

Public USD estimate. Your account rate and final recorded usage determine the actual charge.

View all specifications and prices

Specification	Our price	Official reference
Text input	$3 / 1M tokens	$5 About 40% less than official
Output	$18 / 1M tokens	$30 About 40% less than official
Image input	$4.8 / 1M tokens	$8 About 40% less than official
Cached text input	$0.75 / 1M tokens	$1.25 About 40% less than official
Cached image input	$1.2 / 1M tokens	$2 About 40% less than official

Related models

Image models ↗

Model	Price	Resolution	Input → output
OpenAIGPT Image 2.6 SunburstCurrent	$3 / 1M tokensAbout 40% less than official	1k / 2k / 4k	TextImageImage
OpenAIGPT Image 2.6 FlareBoth declare text, image inputSame billing units	$3 / 1M tokensAbout 40% less than official	1k / 2k / 4k	TextImageImage
OpenAIGPT Image 2Both declare text, image input	$0.02 / requestAbout 62% less than official	1k / 2k / 4k	TextImageImage
OpenAIGPT Image 2.5 FlareBoth declare text, image input	$0.02 / request	1k / 2k / 4k	TextImageImage
OpenAIGPT Image 2.5 SunburstBoth declare text, image input	$0.02 / request	1k / 2k / 4k	TextImageImage

See what it can create.

Capability-based prompts and platform-generated examples are labeled separately, with their sources.

Official capability source ↗ · 2026-11-05

Precise reference-image edit

Preserve the product shape, markings and materials in the reference image. Replace only the background with a light-gray studio, matching lighting and shadows.

Supply a reference image and distinguish preserved details from the requested edit.

Poster typography

Design a modern exhibition poster headed “LIGHT & FORM” with subtitle “October 2026”. Use clear typography, generous space and geometric composition.

Evaluate legibility, hierarchy and adherence to specified text.

Platform-generated examples

Blue ceramic cup

View prompt

A small blue ceramic cup on white.

Original media ↗Try this prompt ↗

What is GPT Image 2.6 Sunburst?

Create images with GPT Image 2.6 Sunburst using text, images. Available resolutions: 1k / 2k / 4k. Try the current API settings, preview results and reuse your inputs.

Describe the subject, composition, lighting and intended use in your prompt. Add reference images when you want to guide the subject or visual style. Choose only the resolution, aspect ratio and output options listed in the current contract; inspect the result before reusing it in your product.

GPT Image 2.6 Sunburst specifications

Model ID	gpt-image-2.6-sunburst
Provider	OpenAI
API	/v1/tasks
Resolution	1k / 2k / 4k
Aspect ratio	21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16 / 2:1 / 1:2 / 9:21
Quality	low / medium / high / xhigh / max / auto
Output format	png / jpeg / webp / gif
Background	auto / transparent / opaque
Reference images	Up to 20

Before you generate

Use the current model ID and the API request shape shown on this page.
Generation is asynchronous. Keep the returned task ID to retrieve the result and billing status.
Only options supported by the current platform contract are exposed in Playground.

Compare GPT Image 2.6 Sunburst with related models

Specification	GPT Image 2.6 Sunburst	GPT Image 2.6 Flare	GPT Image 2
Provider	OpenAI	OpenAI	OpenAI
Input → output	TextImageImage	TextImageImage	TextImageImage
Selection basis	Current model	Both declare text, image input · Same billing units	Both declare text, image input
Resolution	1k / 2k / 4k	1k / 2k / 4k	1k / 2k / 4k
Reference images	20	20	20
Starting price	$3 / 1M tokens	$3 / 1M tokens	$0.02 / request

Choose by the input types, output settings and billing unit your workflow needs. Try the same prompt across models to compare results for your own use case.

BUILD WITH NEWROUTERS

Build with GPT Image 2.6 Sunburst in your app

Submit parameters through the Media Tasks API, then retrieve the result with the task ID. Image and video models keep their own input requirements.

01
Get your API key
Sign in and prepare a key with access to this model.
02
Configure your request
Choose parameters in Playground and copy the API example.
03
Run and inspect the result
Review status, outputs and charges in History.

Read the model API guide ↗

API integration

POST /v1/tasks · Authorization: Bearer

cURL

curl 'https://newrouters.com/v1/tasks' \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $MODEL_API_KEY" \
  --data '{
  "model": "gpt-image-2.6-sunburst",
  "input": {
    "quality": "medium",
    "resolution": "2k",
    "output_format": "jpeg",
    "prompt": "A quiet mountain lake at sunrise, soft morning light.",
    "size": "auto"
  }
}'

JavaScript

const response = await fetch("https://newrouters.com/v1/tasks", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer $MODEL_API_KEY"
  },
  body: JSON.stringify({
    "model": "gpt-image-2.6-sunburst",
    "input": {
      "quality": "medium",
      "resolution": "2k",
      "output_format": "jpeg",
      "prompt": "A quiet mountain lake at sunrise, soft morning light.",
      "size": "auto"
    }
  })
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.text());

Python

import json
import requests

response = requests.post(
    "https://newrouters.com/v1/tasks",
    headers=json.loads("{\"Content-Type\":\"application/json\",\"Authorization\":\"Bearer $MODEL_API_KEY\"}"),
    json=json.loads("{\"model\":\"gpt-image-2.6-sunburst\",\"input\":{\"quality\":\"medium\",\"resolution\":\"2k\",\"output_format\":\"jpeg\",\"prompt\":\"A quiet mountain lake at sunrise, soft morning light.\",\"size\":\"auto\"}}"),
    timeout=300,
)
response.raise_for_status()
print(response.text)

Poll the returned task ID for processing status and output assets.

curl -H "Authorization: Bearer $MODEL_API_KEY" "https://newrouters.com/v1/tasks/$TASK_ID"

Documentation: Authentication · Task status and results · Error handling

Full API parameters and combination constraints

Request parameters

Parameter	Type	Values & constraints
`size`	string	Takes precedence over aspect_ratio. auto is priced as 2k and routes only to channels that support native auto. Concrete WxH uses native passthrough or the channel nearest-size policy.
`count`	integer	1
`images`	array
`prompt` *	string
`quality`	JSON	"low" · "medium" · "high" · "xhigh" · "max" · "auto"Default: "medium"
`background`	JSON	"auto" · "transparent" · "opaque"
`resolution`	JSON	"1k" · "2k" · "4k"Default: "1k"
`frame_count`	integer
`aspect_ratio`	JSON	"21:9" · "16:9" · "3:2" · "4:3" · "5:4" · "1:1" · "4:5" · "3:4" · "2:3" · "9:16" · "2:1" · "1:2" · "9:21"
`output_format`	JSON	"png" · "jpeg" · "webp" · "gif"Default: "jpeg"
`response_format`	JSON	"url" · "b64_json"
`frame_duration_ms`	integer
`output_compression`	integer

Full JSON Schema and combination constraints

{
  "type": "object",
  "allOf": [
    {
      "if": {
        "required": [
          "output_format"
        ],
        "properties": {
          "output_format": {
            "const": "gif"
          }
        }
      },
      "then": {
        "not": {
          "required": [
            "output_compression"
          ]
        },
        "properties": {
          "images": {
            "maxItems": 0
          }
        }
      }
    },
    {
      "if": {
        "anyOf": [
          {
            "required": [
              "frame_count"
            ]
          },
          {
            "required": [
              "frame_duration_ms"
            ]
          }
        ]
      },
      "then": {
        "required": [
          "output_format"
        ],
        "properties": {
          "output_format": {
            "const": "gif"
          }
        }
      }
    }
  ],
  "required": [
    "prompt"
  ],
  "properties": {
    "size": {
      "type": "string",
      "pattern": "^(?:auto|[1-9][0-9]{1,4}x[1-9][0-9]{1,4})$",
      "description": "Takes precedence over aspect_ratio. auto is priced as 2k and routes only to channels that support native auto. Concrete WxH uses native passthrough or the channel nearest-size policy."
    },
    "count": {
      "enum": [
        1
      ],
      "type": "integer"
    },
    "images": {
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 1
      },
      "maxItems": 20
    },
    "prompt": {
      "type": "string",
      "maxLength": 100000,
      "minLength": 1
    },
    "quality": {
      "enum": [
        "low",
        "medium",
        "high",
        "xhigh",
        "max",
        "auto"
      ],
      "default": "medium"
    },
    "background": {
      "enum": [
        "auto",
        "transparent",
        "opaque"
      ]
    },
    "resolution": {
      "enum": [
        "1k",
        "2k",
        "4k"
      ],
      "default": "1k"
    },
    "frame_count": {
      "type": "integer",
      "maximum": 16,
      "minimum": 2
    },
    "aspect_ratio": {
      "enum": [
        "21:9",
        "16:9",
        "3:2",
        "4:3",
        "5:4",
        "1:1",
        "4:5",
        "3:4",
        "2:3",
        "9:16",
        "2:1",
        "1:2",
        "9:21"
      ]
    },
    "output_format": {
      "enum": [
        "png",
        "jpeg",
        "webp",
        "gif"
      ],
      "default": "jpeg"
    },
    "response_format": {
      "enum": [
        "url",
        "b64_json"
      ]
    },
    "frame_duration_ms": {
      "type": "integer",
      "maximum": 2000,
      "minimum": 20
    },
    "output_compression": {
      "type": "integer",
      "maximum": 100,
      "minimum": 0
    }
  },
  "additionalProperties": false
}

GPT Image 2.6 Sunburst API · Common questions

Answers about pricing, inputs, integration and results.

How much does GPT Image 2.6 Sunburst cost?

The current public price starts at $3 / 1M tokens. The pricing section lists each specification. Playground checks your account price before submitting; the completed request records the final charge.

How do I get a NewRouters API key?

Sign in and open Quick Start above the workspace. Select or create a key with access to this model, then copy the request example.

Which inputs and output settings are supported?

Supported input fields: size, count, images, prompt, quality, background, resolution, frame_count, aspect_ratio, output_format, response_format, frame_duration_ms, output_compression. The parameter table includes allowed values and defaults.

Can I use reference images?

Yes. Use the reference mode to upload images or supply their URLs. The current limit is 20 images. Reference images guide a new generation; they do not imply mask editing support.

How do I retrieve results and past requests?

Save the returned task ID and query the task until it succeeds or fails. The History tab lets you reopen your tasks and reuse their parameters.

What happens if the model is closed?

The model keeps its page and identity, but new generation requests are blocked. Existing task records remain accessible. An upstream outage is reported separately from an administrator closing the model.

Read the API documentation ↗

Discover more AI tools

Browse all models ↗

Integration topics / Documentation

All documentation ↗

IMAGEHello, API.

Docs: Choose image specifications and references

Check resolution, aspect ratio, format and reference constraints.

View docs section ↗

BUDGET/v1/tasks

Docs: Batch tasks and budgets

Estimate using the actual specification and billing unit; reconcile task charges.

View docs section ↗

WORKFLOW{ your next idea }

Docs: Image and video task learning path

Understand asynchronous states, result URLs and safe recovery.

View docs section ↗

GPT Image 2.6 Sunburst API

Build with this model

GPT Image 2.6 Sunburst pricing

See what it can create.

Precise reference-image edit

Poster typography

Platform-generated examples

Blue ceramic cup

What is GPT Image 2.6 Sunburst?

GPT Image 2.6 Sunburst specifications

Before you generate

Compare GPT Image 2.6 Sunburst with related models

Build with GPT Image 2.6 Sunburst in your app

API integration

Request parameters

GPT Image 2.6 Sunburst API · Common questions

How much does GPT Image 2.6 Sunburst cost?

How do I get a NewRouters API key?

Which inputs and output settings are supported?

Can I use reference images?

How do I retrieve results and past requests?

What happens if the model is closed?

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API documentation

Integration topics / Documentation

Docs: Choose image specifications and references

Docs: Batch tasks and budgets

Docs: Image and video task learning path