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Explore GPT Image 2.5 Flare for fast creative work, with photography, ads, comics, pixel art and recurring-character examples. Generate images online or integrate with HiAPI.

Provider: OpenAI

Category: image generation

Endpoint: /v1/tasks

Status: Available

Cost: See live page pricing

Back to Models

GPT Image 2.5 Flare

New
by OpenAIImage

Explore GPT Image 2.5 Flare for fast creative work, with photography, ads, comics, pixel art and recurring-character examples. Generate images online or integrate with HiAPI.

Pricing

Standard Usage

134 Credits/ image

Input

0 / 32000

More parameters

Generation settings

Choose the file format for the image result

Choose automatic, transparent, or opaque backgrounds; use PNG or WebP for transparency

Choose the quality tier; tiers affect pricing

Estimated cost134.4 Credits / imagemedium

Output

Ready for generation

Configure your parameters and click "Run" to see the output here.

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Generation and editing examples

Explore prompt-generated images and reference images with their edited results.

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Model specifications

Explore reference limits, sizes, formats and quality settings for GPT Image 2.5 Flare.

Reference images
0-16
Aspect ratios
1:13:22:34:33:416:99:16auto1024x10241536x10241024x15361536x11521152x15362048x20482048x11521152x20483840x21602160x3840
Output formats
PNGJPEGWEBP
Quality
lowmediumhighxhighmaxauto
Prompt length
1–32000 characters
Pricing
medium: 134 Credits / imagelow: 34 Credits / imagehigh: 365 Credits / imagexhigh: 714 Credits / imagemax: 1,428 Credits / imageauto: 714 Credits / image

Pricing is per output image and quality setting, with no extra fee for references. See the estimate above before generating.

How to use GPT Image 2.5 Flare

Start with an idea, add an image if needed, and create in three steps.

Subject
Scene

API Quickstart

Copy the request example and use your own API key and image URLs. See the documentation for parameters, callbacks and result retrieval.

Endpoint
POST /v1/tasks
Model ID
gpt-image-2.5-flare
cURL
curl -X POST https://api.hiapi.ai/v1/tasks \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gpt-image-2.5-flare",
  "input": {
    "prompt": "Create a premium square editorial lifestyle photograph set at a sunlit 1960s Mediterranean poolside creative studio. One stylish young adult designer in an ivory linen shirt and cobalt shorts is arranging bold ultramarine, tangerine, and cream print samples on a white travertine table. Behind them: a cobalt-blue swimming pool, one sculptural orange parasol, a chrome tubular chair, a compact analog camera, and a few geometric paper mockups lifting slightly in a warm sea breeze. Crisp midday sunlight, elegant hard-edged shadows, natural skin, tactile paper and linen, subtle film grain, refined Italian resort color palette, sophisticated magazine art direction, balanced negative space, photorealistic, no cyberpunk, no neon, no logos, no watermark, no readable text.",
    "aspect_ratio": "1:1",
    "quality": "high",
    "background": "opaque",
    "output_format": "webp"
  }
}'

The create request immediately returns a taskId; image generation continues asynchronously.

Read the full API documentation

GPT IMAGE 2.5 / FLARE

GPT Image 2.5 Flare for fast visual creation

Flare is the speed-focused model in the GPT Image 2.5 family, built for high-quality everyday generation, creative exploration and applications with frequent image requests. It accepts text and image inputs for both new creations and edits.

Generate + editUp to 16 references6 quality settings
Explore the model ↓
Mediterranean Poolside Creative Studio
Mediterranean Poolside Creative Studio · Model-generated example

EVERYDAY IMAGE CREATION

About GPT Image 2.5 Flare

Its role spans photography, advertising, illustration and visual prototypes. Content tools that produce many revisions benefit from a model that balances responsiveness with usable images. References can anchor new versions to a person, product or style.

The poolside example brings together light, a person, printed paper and stone. The Flare examples below extend to lettering, sequential stories and pixel art, covering everyday content and stylized visual design.

Flare generation, from photography to visual design

Flare serves applications that need high-quality images with lower latency. These Flare examples span portraits, advertising, sequential images and style references.

Natural light and photographic subjects

A photographic scene depends on skin, clothing and environmental detail working together. In this example, a sailor repairs a net with a dog beside him. The hands, knots and worn clothing ground the portrait in an everyday activity.

Flare can create editorial portraits, lifestyle imagery and scene concepts. Text can describe the person alongside framing, ambient light and photographic texture.

Flare · Sailor portrait

Headlines and people in one campaign image

A clothing campaign brings outfits, interaction and branding into one composition. This example gives the lettering a readable position while keeping the street setting and clothing visible.

This form of generation supports ad concepts, social promotions and campaign covers. Lettering can be generated with the image, with spelling and layout available for subsequent refinement.

Need more editing precision? Explore Sunburst

Sunburst targets more demanding visual requirements and detailed revisions, generally with longer generation times. It is another option for brand or product imagery requiring finer control.

View model details →

Bring Flare into your creative tool

Try photography, graphic layouts and illustrations online, then integrate image generation into your content product. Find settings, estimates and request examples on this page.

Try in PlaygroundGet an API key

Frequently asked questions

What is GPT Image 2.5 Flare designed for?

Flare focuses on speed and high-quality everyday generation for creator tools, ad drafts, visual prototypes and frequent image requests. It also supports editing and reference fidelity.

Does Flare only generate from text?

It also accepts images. A reference can supply a person, product or style for a new creation or edit. The pixel-art rider on this page uses an image as a style reference.

Can Flare produce photographic images?

Yes. The sailor and poolside examples show photographic treatments of people, materials and ambient light. Camera and lighting descriptions guide appearance.

Can Flare create an advertisement with a headline?

The requested wording can be described alongside the visual brief. The clothing-campaign example combines people, outfits and a headline in one image. Headlines, colors and styling can be refined in subsequent versions.

Can Flare create comics and recurring characters?

The page shows a four-panel pet story and a forest character continued into another scene. Flare can arrange sequential panels in one image or use a previous output as a reference for the next creation.

What kinds of interface concepts can Flare create?

Flare can create visual concepts for mobile apps, product listings and content pages. These images present layout, color, navigation and information hierarchy for proposals and design discussions.

Can a style reference be used with a different subject?

Yes. The pixel-art example uses a game-screen reference to create a motorcycle rider. The prompt can specify which stylistic elements to borrow and what the new image should contain.

Is Flare an option for an existing GPT Image 2 workflow?

Yes. Flare supports text-to-image generation and reference-based editing with a focus on lower generation latency, making it relevant to content tools, design applications and product displays with frequent image updates.

When should I consider Sunburst instead of Flare?

Flare prioritizes everyday generation and responsiveness. Consider Sunburst for demanding visual requirements or precise edits. Both models generate and edit images; their positioning reflects a quality and latency tradeoff.

Which output options does Flare offer on HiAPI?

HiAPI offers six quality settings, square and landscape or portrait formats, and listed pixel dimensions. Choose PNG, JPEG or WebP, using PNG or WebP for transparency. The specifications and Playground list the options.

How can Flare fit into a repeated-generation workflow?

An application can submit image tasks and retrieve results through polling or callbacks. Each HiAPI request produces one image, so the application manages task volume and concurrency.

How is Flare billed?

Billing is per output image and selected quality, with no extra reference-image fee. Playground displays the estimate for the chosen settings.

Style
Up to 16
01

Describe the image or add references

Skip uploads for text-to-image, or add 1 to 16 images for editing and describe their roles.

What to change
What to preserve
02

Describe the result and choose settings

Describe the subject, composition, and lighting; for edits, specify what to change and preserve, then choose quality, layout, and format.

Playground
POST /v1/tasks
03

Generate and download

Run the task, then preview and download your image. Use the code below to automate generation in your app.

Flare · Clothing campaign

A short story told through sequential images

The four-panel pet story places one character in successive moments and actions. Each panel carries part of the narrative, with the order of the images explaining what happens.

Flare also supports comic drafts, short-form storyboards and narrative proposals. A multi-panel image can cover a short event, while further generations extend the characters and settings.

Flare · Four-panel pet story

Interface previews and visual product concepts

The farmers market example organizes product listings, pictures, prices and navigation into a phone-screen preview. It communicates a visual structure for discussing hierarchy and interface style.

These interface concepts support product proposals and design exploration, helping teams compare layouts, palettes and content organization visually.

Flare · Mobile interface concept

A new subject from a visual style reference

A reference can supply pixel structure, palette and visual language while the output introduces a different subject. Here, a game-screen reference informs a pixel-art motorcycle rider.

Style references support game-art drafts, stylized illustrations and character concepts whose treatment relates to an existing design.

Style reference

Flare · Pixel-art rider

Illustrations for seasonal and everyday content

The greeting-card example builds a theme around a teddy bear, a window and interior light. Subject, decoration and space for lettering form one design for seasonal messages and social content.

For products with regularly changing content, Flare’s speed-focused positioning suits frequent image requests while retaining reference-based editing.

Flare · Holiday greeting card

One forest character in the next chapter

The first image establishes the character’s clothing, appearance and storybook style. The next image takes that character into a new scene in the snow, extending the story around a recurring subject.

These Flare outputs illustrate continuation from a prior image for character stories, picture-book proposals and illustration series.

Character and opening scene

The next scene in the snow

ARENA LEADERBOARD

GPT Image 2.5 Flare on Arena

GPT Image 2.5 Flare ranks second in text-to-image, image editing and multi-image editing, with strong results across both generation and reference-based creation.

Text-to-image

Arena · 2026-09-09
Rank / ModelScore
1Sunburst1421
2Flare1399
3GPT Image 2 (medium)1381
View the Arena leaderboard ↗

Image editing

Arena · 2026-09-09
Rank / ModelScore
1Sunburst1520
2Flare1491
3GPT Image 2 (medium)1461
View the Arena leaderboard ↗

Multi-image editing

Arena · 2026-09-09
Rank / ModelScore
1Sunburst1535
2Flare1501
3GPT Image 2 (medium)1454
View the Arena leaderboard ↗

Where Flare fits in products and content

Creator tools

Image generation for covers, social posts and short stories in frequently updated tools.

Product and visual discovery

Turn product, style and setting choices into images that users can explore visually.

Design proposals

Communicate proposals through photographs, illustrations and interface concepts.

Repeated image requests

Repeatable image generation for catalog imagery, content variations and personalized visuals.