O
OPENAI / gpt-image-2.6-sunburst

GPT Image 2.6 Sunburst

OpenAI image generation and editing model released on November 4, 2026. Sunburst focuses on detailed compositions and precise edits. It accepts text and images, complexity control, annotations to guide changes, and SVG and GIF output workflows. It has its own API identity and a separate profile from Flare.

01 / SUMMARY

The essential

ORIENTATIONDetailed visual composition and editing

Primary use stated or inferred cautiously from official documentation.

CONTEXTNot published

Maximum input capacity when published by the source.

EXITImage; SVG and GIF through documented workflows

Documented maximum generation limit.

ACCESSImages API

Verified availability channels.

MODEL TYPEImage

Primary functional family and verified specialties.

LICENSEProprietary

Declared terms for API access, model weights, or self-hosting.

02 / TECHNICAL SHEET

Limits and integration

API IDgpt-image-2.6-sunburst
Model typeImage
Access modelPaid proprietary
LicenseProprietary
DeploymentHosted API
Release04 NOV 2026
Knowledge cutoffNot published
EntranceText · Image
ExitImage
Context windowNot published
maximum outputImage; SVG and GIF through documented workflows
ReasoningNot published
Published tools
Structured OutingsNot published
Batch processingNot published
Prompt cacheNot published
Fine-tuningNot published
Verified platformsOpenAI API
BEST SUITED FOR

Illustrations, product assets and edits guided by a reference image. Complexity controls planning and quality controls rendering. These are different settings. Review text, geometry and visual continuity in each result using examples of the intended application.

WORTH MONITORING

The model card verifies generation and editing through the Images API. Endpoints, resolutions and limits from earlier models are not automatically inherited. SVG output may add the cost of the model authoring the file. A GIF does not establish general-purpose video generation. Images can contain errors and require rights and usage review.

03 / CAPABILITIES

What it can do

01

Orientation

Illustrations, product assets and edits guided by a reference image. Complexity controls planning and quality controls rendering. These are different settings. Review text, geometry and visual continuity in each result using examples of the intended application.

02

Context

Not published · Image; SVG and GIF through documented workflows

03

Tools and integration

Not published

04

Access

Images API

Input modalities
TextImage
04 / PRICES

Documented cost

ConceptWorthUnit/condition
Standard input5 USD text · 8 USD image / 1M tokensStandard API rate
Cached input1.25 USD text · 2 USD image / 1M tokensReading reused prefixes
Cache write or storageNot publishedThe condition varies by provider
Standard output30 USD / 1M image tokensMay include reasoning tokens
Batch inputNot publishedAsynchronous processing
Batch outputNot publishedAsynchronous processing

Prices per million tokens are 5 USD for input text, 1.25 USD for cached text, 8 USD for input images, 2 USD for cached images and 30 USD for output images. These are not per-image prices. Size, quality and usage change the total. Text and image tokens have different rates and must be budgeted separately.

i Prices change and may depend on level, region or context length. Check the source before making a decision.

05 / EVALUATIONS

How to read the results

“

No public numeric scores specific to this version have been verified. Quality or speed positioning comes from official documentation and is not an Inferama measurement. A reproducible comparison must fix the prompt, references, complexity, quality, format and sample count, and measure actual cost and latency.

i No verified numeric score for the exact version.

Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.

06 / VERSIONS

Chronology

GPT Image 2.6 Sunburst

Version added to Inferama's verified catalog.

07 / SOURCES

Traceability