how much does GPT Image 2.6 Sunburst cost?

$30.00/M out, $5.00/M text in, $8.00/M img in; SVG $0.10/$0.50/M in/out. you pay per run from your inference shell credits. no subscription is required.

how do I run GPT Image 2.6 Sunburst via api?

call openai/gpt-image-2-6-sunburst with the javascript or python sdk, the rest api, or `belt app run openai/gpt-image-2-6-sunburst` from a terminal. the api reference on this page lists every input.

who makes GPT Image 2.6 Sunburst?

GPT Image 2.6 Sunburst is made by openai and runs on inference shell. every openai app is listed at https://inference.sh/apps/openai.

can my agent use GPT Image 2.6 Sunburst?

yes. agents call it as a tool through the inference shell mcp server (https://api.inference.sh/mcp), the belt cli or the sdk, and pay per run like you do.

what are the alternatives to GPT Image 2.6 Sunburst?

other image apps on inference shell include GPT Image 2.6 Flare, Gemini Nano Banana 2.1, Grok Imagine Image 2.0, GPT Image 2.5 Sunburst. they run through the same api, so switching is a one-line change.

GPT Image 2.6 Sunburst

OpenAI's GPT Image 2.6 for detailed visual work. Text-to-image, edits with masks or markup, complexity control, transparent backgrounds, SVG and animated GIF output.

text to image image editing

run in browser →run via API run with your agent

maker: openai
category: image
input → output: text → image
runs via: api, javascript and python sdk, belt cli, mcp
updated: 2026-11-05
price: $30.00/M out, $5.00/M text in, $8.00/M img in; SVG $0.10/$0.50/M in/out

api reference

about

openai's gpt image 2.6 for detailed visual work. text-to-image, edits with masks or markup, complexity control, transparent backgrounds, svg and animated gif output.

get an api key

create one in settings → api keys. the examples read it from INFERENCE_API_KEY.

bash

1export INFERENCE_API_KEY="inf_your_key"

1. calling the api

install the client

nothing to install. any http client works; the examples use curl, and jq to read responses. every response wraps its result in a data field.

run and get result

send "wait": true to hold the connection until the task finishes. without it the call returns right away with the task still running.

bash

12# "wait": true holds the connection until the task finishes.3# the response is {"data": {"id", "status", "status_text", "output", ...}}4curl -X POST https://api.inference.sh/apps/run \5  -H "Authorization: Bearer $INFERENCE_API_KEY" \6  -H "Content-Type: application/json" \7  -d '{8    "app": "openai/gpt-image-2-6-sunburst",9    "input": {10      "prompt": "A cat wearing a tiny top hat, oil painting style"11    },12    "wait": true13  }'

stream live updates

get real-time progress updates as the task runs. ideal for showing progress bars, partial results, or long-running tasks. send "stream": true and the response is a server-sent event stream that ends when the task does.

bash

12# "stream": true answers with server-sent events until the task finishes3curl -N -X POST https://api.inference.sh/apps/run \4  -H "Authorization: Bearer $INFERENCE_API_KEY" \5  -H "Content-Type: application/json" \6  -d '{7    "app": "openai/gpt-image-2-6-sunburst",8    "input": {9      "prompt": "A cat wearing a tiny top hat, oil painting style"10    },11    "stream": true12  }'

run in the background

start the task and get its id back right away, then check on it later. for long tasks, or when you'd rather be called back, see webhooks.

bash

1# without "wait" the call returns the task right away (status 1, "received")2TASK_ID=$(curl -s -X POST https://api.inference.sh/apps/run \3  -H "Authorization: Bearer $INFERENCE_API_KEY" \4  -H "Content-Type: application/json" \5  -d '{6    "app": "openai/gpt-image-2-6-sunburst",7    "input": {8      "prompt": "A cat wearing a tiny top hat, oil painting style"9    }10  }' | jq -r '.data.id')1112# later: read its state. done when status is 10 (completed), 11 (failed) or 12 (cancelled)13curl -s https://api.inference.sh/tasks/$TASK_ID \14  -H "Authorization: Bearer $INFERENCE_API_KEY" | jq '.data | {status, status_text, 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

pass urls directly or use data uris for inline content.

bash

1# pass URLs or data URIs as input values2curl -X POST https://api.inference.sh/apps/run \3  -H "Authorization: Bearer $INFERENCE_API_KEY" \4  -H "Content-Type: application/json" \5  -d '{6    "app": "openai/gpt-image-2-6-sunburst",7    "input": {8      "image": "https://example.com/image.png",9      "audio": "data:audio/mp3;base64,..."10    },11    "wait": true12  }'

manual upload

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

bash

1# 1. create the file: the response has an upload_url and the file's uri2FILE=$(curl -s -X POST https://api.inference.sh/files \3  -H "Authorization: Bearer $INFERENCE_API_KEY" \4  -H "Content-Type: application/json" \5  -d '{"files": [{"filename": "image.png", "content_type": "image/png"}]}')67# 2. PUT the bytes to upload_url8curl -X PUT "$(echo "$FILE" | jq -r '.data[0].upload_url')" \9  -H "Content-Type: image/png" \10  --data-binary @image.png1112# 3. pass the uri as an input value13echo "$FILE" | jq -r '.data[0].uri'

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.

bash

1curl -X POST https://api.inference.sh/apps/run \2  -H "Authorization: Bearer $INFERENCE_API_KEY" \3  -H "Content-Type: application/json" \4  -d '{5    "app": "openai/gpt-image-2-6-sunburst",6    "input": {7        "prompt": "A cat wearing a tiny top hat, oil painting style"8    },9    "webhook": "https://your-server.com/webhook"10  }'

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, 13=rejected)

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*

text prompt describing the desired image. for gif output, describe the subject, motion and loop.

example: "A cat wearing a tiny top hat, oil painting style"maxLength:32000

imagesarray

optional image(s) to edit. a mask or markup applies to the first image; the others serve as references.

maskstring(file)

optional mask for the first image. its transparent areas mark where to edit. cannot be combined with markup.

markupstring(file)

optional transparent png with circles, sketches or other annotations showing where to edit. must match the first image's dimensions. cannot be combined with mask.

widthinteger

output width in pixels. must be a multiple of 16. for gif this is the frame width; leave width and height unset to let the model pick a size that fits the frame count.

default: 1024min:256max:3840

heightinteger

output height in pixels. must be a multiple of 16. for gif this is the frame height; leave width and height unset to let the model pick a size that fits the frame count.

default: 1024min:256max:3840

qualitystring

rendering quality. 'low' for drafts, 'high' for final assets, 'xhigh' and 'max' for maximum detail at higher cost. for svg, sets the reference image's quality.

default: "auto"

options:"auto""low""medium""high""xhigh""max"

complexitystring

how much the model plans before rendering, independent of quality and at no extra cost. lower suits focused edits; higher helps dense text and complex layouts but adds latency.

default: "high"

options:"low""medium""high"

ninteger

number of images to generate (1-10). svg output requires 1.

default: 1min:1max:10

output_formatstring

output file format. gif (animated) and svg (vector) are for generation only, not edits.

default: "png"

options:"png""jpeg""webp""gif""svg"

output_compressioninteger

compression level for jpeg/webp (0-100). ignored for other formats.

min:0max:100

frame_countinteger

number of animation frames. used only for gif output.

default: 9min:2max:16

frame_duration_msinteger

delay per animation frame in milliseconds, rounded to 10 ms. used only for gif output.

default: 200min:20max:2000

moderationstring

content moderation strictness. 'auto' applies standard filtering; 'low' is less restrictive.

default: "auto"

options:"auto""low"

backgroundstring

background transparency. 'transparent' requires png or webp output; prompt for an isolated subject. 'opaque' forces a solid background.

default: "auto"

options:"auto""transparent""opaque"

output

imagesarray*

the generated image files.

other image apps

GPT Image 2.6 Flare

openai/gpt-image-2-6-flare

$30.00/M output, $5.00/M text input, $8.00/M image input, $0.10/M SVG input, $0.50/M SVG 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

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.

more from openai

GPT Image 2.6 Flare

openai/gpt-image-2-6-flare

$30.00/M output, $5.00/M text input, $8.00/M image input, $0.10/M SVG input, $0.50/M SVG output

GPT-6 Sol

openai/gpt-6-sol

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

GPT-6 Luna

openai/gpt-6-luna

$0.10/M input, $0.01/M cached, $0.50/M output

GPT-6.1 Sol

openai/gpt-6-1-sol

$2.00/M input, $0.10/M cached, $10.00/M output

new models

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from the blog

GPT Image 2.6 Sunburst

api reference

about

get an api key

1. calling the api

install the client

run and get result

stream live updates

run in the background

2. authentication

3. files

automatic upload

manual upload

4. webhooks

5. schema

input

output

other image apps

more from openai

new models

ready to run GPT Image 2.6 Sunburst?