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GPT Image 2.6 Flare API

Playground
LLMs
llms.txt ↗
Try online

Create images with GPT Image 2.6 Flare 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
Sign in to choose a key from your account.
Generation mode
Describe what you want to create.
Request preview
{
  "model": "gpt-image-2.6-flare",
  "input": {
    "quality": "low",
    "resolution": "2k",
    "output_format": "gif",
    "size": "auto",
    "prompt": "Looping animation of a bouncing blue ball on white."
  }
}
Checking current pricing…
Output
Example output
Bouncing ball loop
Open original ↗
Next

GPT Image 2.6 Flare pricing

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

UsageQuantityRateCost
tokens$3/ 1M$0.003
tokens$18/ 1M$0.009
tokens$4.8/ 1M$0
tokens$0.75/ 1M$0
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
SpecificationOur priceOfficial 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

See what it can create.

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

Official capability source ↗ · 2026-11-05

Visual iteration

Create a cafe opening graphic with warm light, a paper menu and wooden surfaces. Make the headline “OPEN TODAY” clearly readable.

Use an explicit scene and headline when iterating visual concepts.

Product visualization

Create a product photograph of an original blue ceramic vase against pale stone, with natural side lighting, detailed glaze and a restrained composition.

Constrain a product image through materials, lighting and background.

Platform-generated examples

What is GPT Image 2.6 Flare?

Create images with GPT Image 2.6 Flare 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 Flare specifications

Model IDgpt-image-2.6-flare
ProviderOpenAI
API/v1/tasks
Resolution1k / 2k / 4k
Aspect ratio21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16 / 2:1 / 1:2 / 9:21
Qualitylow / medium / high / xhigh / max / auto
Output formatpng / jpeg / webp / gif
Backgroundauto / transparent / opaque
Reference imagesUp 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 Flare with related models

SpecificationGPT Image 2.6 FlareGPT Image 2.6 SunburstGPT Image 2
ProviderOpenAIOpenAIOpenAI
Input → outputTextImageImageTextImageImageTextImageImage
Selection basisCurrent modelBoth declare text, image input · Same billing unitsBoth declare text, image input
Resolution1k / 2k / 4k1k / 2k / 4k1k / 2k / 4k
Reference images202020
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 Flare 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.

  1. 01
    Get your API key

    Sign in and prepare a key with access to this model.

  2. 02
    Configure your request

    Choose parameters in Playground and copy the API example.

  3. 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-flare",
  "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-flare",
    "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-flare\",\"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

ParameterTypeValues & constraints
sizestringTakes 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.
countinteger1
imagesarray
prompt *string
qualityJSON"low" · "medium" · "high" · "xhigh" · "max" · "auto"Default: "medium"
backgroundJSON"auto" · "transparent" · "opaque"
resolutionJSON"1k" · "2k" · "4k"Default: "1k"
frame_countinteger
aspect_ratioJSON"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_formatJSON"png" · "jpeg" · "webp" · "gif"Default: "jpeg"
response_formatJSON"url" · "b64_json"
frame_duration_msinteger
output_compressioninteger
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 Flare API · Common questions

Answers about pricing, inputs, integration and results.

How much does GPT Image 2.6 Flare 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 ↗

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API documentation

Browse endpoints, request examples and integration steps.

Read documentation ↗

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 ↗