Released September 8, 2026 · gpt-image-2.5

GPT Image 2.5 — Release, API & Pricing

OpenAI shipped GPT Image 2.5 on September 8, 2026. In ChatGPT it rolls out as ChatGPT Image 2.5, with generation latency roughly 50% lower than the 2.0 generation and noticeably steadier multi-turn editing. On the API side it arrives as two model IDs — gpt-image-2.5-flare and gpt-image-2.5-sunburst. This page tracks what is actually confirmed: release timeline, API access, model differences, and where pricing stands today.

~50% faster than 2.0
🔁Stronger multi-turn edits
🧩Two model IDs
🗓️Launched 2026-09-08
gpt image 2.5chatgpt image 2.5gpt-image-2.5gpt image2.5
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This is the GPT Image 2.5 page — the new generation released September 8, 2026.

Looking for the previous generation? See GPT Image 2 (gpt-image-1) →

GPT Image 2.5

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Release timeline

What's New in GPT Image 2.5 — Release Date & Timeline

The GPT Image 2.5 release date is September 8, 2026. OpenAI announced it on the consumer side as ChatGPT Images 2.5 — you will also see it written as images 2.5, gpt images 2.5 or chatgpt images 2.5 — and shipped the matching API models the same day. The headline changes are speed and edit stability rather than a wholesale change in visual style: generation latency in the ChatGPT client is roughly half what the 2.0 generation delivered, and iterative editing holds character, layout and lighting far more consistently across several rounds of instructions.

  1. 2026-09-08

    GPT Image 2.5 announced

    OpenAI publishes the ChatGPT Images 2.5 release and opens the new image models to API users the same day.

  2. Consumer rollout

    ChatGPT Image 2.5 in the app

    Image generation inside ChatGPT switches to the 2.5 generation, with generation latency reduced by about 50% compared with the 2.0 experience.

  3. API availability

    Two model IDs go live

    gpt-image-2.5-flare ships as the default general-purpose model; gpt-image-2.5-sunburst ships alongside it for higher-precision editing work.

  4. Ongoing

    Pricing and limits still landing

    Per-image and per-token rates for gpt-image-2.5 are not fully published yet. Always confirm current numbers on platform.openai.com before you budget.

Latency cut roughly in half

The most immediately visible change in ChatGPT Image 2.5 is wait time. Consumer-side generation is around 50% faster than the 2.0 generation, which changes how workable it is to iterate on a prompt in real time.

🔁

Multi-turn edit consistency

Images 2.5 holds the subject steadier across successive edit instructions. Asking for five sequential changes no longer drifts the face, product or composition the way earlier rounds of editing tended to.

🧩

Split model lineup

Instead of one endpoint model, gpt-image-2.5 ships as a fast default (flare) and a precision variant (sunburst) so you can choose latency or edit fidelity per request.

🔌

Same Images API surface

Developers keep the familiar OpenAI API shape — the generations and edits endpoints — and switch behaviour by changing the model string, so migrating from the previous generation is mostly a one-line change.

GPT Image 2.5 API

API Access — Endpoints & Model IDs

GPT Image 2.5 API access runs through the standard OpenAI API image surface. If you already call the GPT API or the Chat GPT API from your app, nothing structural changes: you authenticate with the same OpenAI API key, POST to the images endpoints, and select the generation by model string. The two model IDs are gpt-image-2.5-flare and gpt-image-2.5-sunburst.

POST/v1/images/generations

Text-to-image. Send a prompt plus the model ID and receive generated image data back.

POST/v1/images/edits

Image editing and inpainting. Send a source image, an optional mask and an instruction — this is where the sunburst variant earns its extra latency.

Model ID

Default · fastest · general-purpose generation

curl https://api.openai.com/v1/images/generations \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2.5-flare",
    "prompt": "a ceramic coffee cup on a linen tablecloth, morning window light",
    "size": "1024x1024"
  }'

Request and response fields, supported sizes and rate limits are defined by OpenAI and can change without notice — check the official API reference at platform.openai.com before shipping.

Model variants

Flare vs Sunburst — Which gpt-image-2.5 Model to Use

The practical decision with gpt-image-2.5 is which of the two model IDs you pass. Flare is the default and is tuned for throughput: it is the one to reach for when you are generating fresh images, running batch jobs, or letting an end user iterate interactively and waiting is expensive. GPT Image 2.5 sunburst trades speed for precision on edits — it holds fine detail, small text and masked-region boundaries more faithfully, and takes longer to return. Many teams end up using both: flare for drafting, sunburst for the final pass.

gpt-image-2.5-flareDefault

Fast, general-purpose generation. The model you get if you do not specify otherwise.

  • Text-to-image generation at volume
  • Interactive UIs where users wait on the result
  • Draft and exploration passes
  • Cost- and latency-sensitive pipelines
gpt-image-2.5-sunburstPrecision

Higher editing precision with longer generation time. Built for the edits path rather than raw throughput.

  • Masked inpainting where the boundary must be clean
  • Multi-round edits that must preserve a subject
  • Product, packaging and typography-sensitive work
  • Final renders after a flare draft
Dimensiongpt-image-2.5-flaregpt-image-2.5-sunburst
RoleDefault modelPrecision variant
Relative speedFastest of the twoSlower — longer generation time
Editing precisionGoodHighest of the 2.5 line
Typical useGeneration, batch, draftsEdits, masks, final passes
Model stringgpt-image-2.5-flaregpt-image-2.5-sunburst

Both variants sit behind the same endpoints — switching between them is a model-string change, not a rewrite.

GPT Image 2.5 pricing

GPT Image 2.5 Pricing — What Is and Isn't Confirmed

This is the honest answer on gpt image 2.5 pricing: OpenAI has not fully published the per-token or per-image rates for gpt-image-2.5-flare and gpt-image-2.5-sunburst. Anything you see quoted as an exact number for these models right now should be treated as unverified. We will not invent figures here.

⚠️ Verify with official documentation

Pricing for gpt-image-2.5 is not fully published yet. All rates are set by OpenAI and can change at any time — the official documentation at platform.openai.com is the only authoritative source. Verify current pricing there before you budget or quote a client.

ModelModel IDPublished API rateWhere to confirm
GPT Image 2.5 (fast)gpt-image-2.5-flareNot yet publishedplatform.openai.com
GPT Image 2.5 (precision)gpt-image-2.5-sunburstNot yet publishedplatform.openai.com
ChatGPT Image 2.5 (consumer)In-app image generationIncluded with paid ChatGPT plans; per-plan limits applyopenai.com plan pages

GPT Image 2 pricing, for reference

For comparison, gpt image 2 pricing (the previous generation, model ID gpt-image-1) was published per image and varied by quality tier and output size — roughly $0.011 at low quality and up to around $0.167 at high quality for a 1024×1024 output, with larger sizes costing more. Use those as a rough historical anchor for what an OpenAI image model has cost, not as a prediction for 2.5. The same caveat applies: confirm every number against the official pricing page, which supersedes anything published here.

Read the full GPT Image 2 guide →

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Competitive landscape

GPT Image 2.5 vs Nano Banana, Seedance, Gemini 2.5 Flash Image & Midjourney

GPT Image 2.5 does not land in an empty field. Google's Gemini 2.5 Flash Image — widely known by its nickname Nano Banana — is the closest competitor on conversational editing and speed. Seedance comes from a different direction: it is a video-generation model, so it competes for the same creative budget rather than the same output type. Midjourney remains the reference point for stylised aesthetic quality, with a workflow built around its own app rather than an API-first developer surface. Here is how the 2.5 generation lines up.

FeatureGPT Image 2.5Nano Banana / Gemini 2.5 Flash ImageSeedanceMidjourney
Primary outputImagesImagesVideoImages
Multi-turn editingImproved in 2.5 — a headline changeStrong — its signature capabilityNot applicableVary / remix workflow
Speed focus~50% faster than 2.0; flare is the fast tierFlash tier is built for low latencyVideo render times dominateQueue-based, app-driven
API model IDsgpt-image-2.5-flare, gpt-image-2.5-sunburstGemini image model IDs via Google AIVendor and reseller endpointsNo first-party public API
Developer accessOpenAI API keyGoogle AI / Vertex credentialsPlatform or aggregator accessDiscord and web app
Published pricingNot yet fully publishedPublished on Google's pricing pagesVaries by platformMonthly subscription tiers
Best atInstruction-following and consistent iterative editsFast conversational image editingMotion and video generationDistinctive stylised aesthetics

Competitor capabilities and pricing move quickly — verify each vendor's current documentation before making a platform decision.

xImagineai gives you image and video generation on one platform with one-time credit packs — no OpenAI account, no monthly subscription, and no waiting for a pricing page to be published.

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Related Pages

GPT Image 2.5 is a separate model generation from GPT Image 2 — different model IDs, different behaviour. If you landed here looking for the previous release, start with the GPT Image 2 guide.

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GPT Image 2.5 — Frequently Asked Questions

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