GPT Image 2.5 Flare
A reference-driven OpenAI image model for product preservation, text edits, scene changes, and layered commercial briefs.
Key facts
| Developer | OpenAI |
|---|---|
| Official model ID | gpt-image-2.5-flare |
| Released | 2026-09-08 |
| Availability on Banana Pie | Available now |
| Credits from | 25 credits / image |
| Reference images | Up to 8 |
OpenAI positions GPT Image 2.5 Flare as the fast, everyday default of the GPT Image 2.5 pair, with Sunburst reserved for precision editing (OpenAI announcement, 2026-09-08). In Banana Pie's evaluation it is a practical candidate for reference-heavy commercial image work, especially when a brief combines products, people, text, garments, or scene edits. Its 4K ceiling and support for up to 8 references are useful, but the starting cost and observed run times make it less suited to disposable exploration.
Strengths
- Reference-heavy workflows
Support for up to 8 references gives complex briefs room for multiple identities, garments, products, and visual sources.
- Broad editing coverage
Published scenarios include object binding, identity and garment transfer, in-image text replacement, relighting, outpainting, and product preservation across a scene change.
- 4K output ceiling
A maximum resolution of 4K supports work intended for detailed review or larger final delivery.
- Commercial brief coverage
The evaluation suite includes advertising composition, multilingual typography, structured UI graphics, and product material and lighting prompts.
Limitations
- Consider the wait per run
Published scenario times ranged from 70.5s to 101.0s, so it may feel slow for rapid exploratory prompting.
- Not a low-cost sketch pass
Generations start at 25 credits, which can add up when a concept needs repeated iteration.
- Limited consistency evidence
Each published scenario contains an auto-selected only-run result, leaving repeated-run consistency unmeasured.
- No comparative ranking
The supplied evidence does not include direct model comparisons, so it cannot support claims of superiority over sibling models.
Choose GPT Image 2.5 Flare when
- Your edit depends on preserving a product while changing its setting.
- You need to combine several references for identity, garments, objects, or scene direction.
- Your brief includes typography, text replacement, advertising composition, or structured graphics.
- You need a 4K output ceiling and can budget at least 25 credits per attempt.
- You are handling relighting, outpainting, or other edits that must remain coherent across the scene.
Consider an alternative when
- You need inexpensive, disposable concept exploration below the 25-credit starting point.
- You need turnaround materially shorter than the published 70.5s to 101.0s observations.
- Your workflow requires more than 8 reference images.
- You need repeated-run consistency or direct comparative evidence before committing credits.
Depending on the task, these can be a better fit: GPT Image 2.5 Sunburst · Nano Banana 2
Real-world results
Same fixed prompts we run on every model - one published result per model, with prompts and settings you can inspect.
Prompt
A premium product photograph of exactly one transparent rectangular perfume bottle, half filled with amber liquid, standing upright on wet black stone. Light comes from the upper left, creating coherent refraction, a contact shadow, and one subtle reflection. No text, logo, plants, or extra objects.
Settings
- Resolution: 1K
- Aspect Ratio: 1:1
Prompt
Design a clean cream-colored vertical event poster. Show exactly four centered text lines and no other text: "MOONLIGHT MARKET", "月光市集", "18 OCT", and "RIVER HALL". Render "月光市集" in red and all other lines in black.
Settings
- Resolution: 1K
- Aspect Ratio: 2:3
Prompt
A photorealistic close-up of an adult potter shaping a clay bowl on a spinning wheel. Both hands are fully visible, each with five natural fingers touching the clay. No other people or hands. Soft window light.
Settings
- Resolution: 1K
- Aspect Ratio: 3:4
Prompt
On a matte gray table, exactly three red wooden cubes form a row on the left, exactly two blue glass spheres sit on the right, and one yellow ceramic mug stands centered behind them. The mug handle points right. No other objects or text.
Settings
- Resolution: 1K
- Aspect Ratio: 4:3
Prompt
Create a vertical social ad for a fictional running shoe named AERO. Keep the top 15 percent empty. Directly below it, place the headline "RUN LIGHT" in the upper-left. Show exactly one silver shoe in the lower-right, an orange trail curving from the bottom-left, and a round badge reading "42 KM". No other shoes or text.
Settings
- Resolution: 1K
- Aspect Ratio: 9:16
Prompt
Create a clean horizontal pricing comparison graphic titled "CHOOSE YOUR PLAN". Use exactly three equal columns labeled "STARTER", "PRO", and "TEAM". Under each column, show exactly three aligned rows labeled "PROJECTS", "STORAGE", and "SUPPORT", followed by one blue button labeled "SELECT". White background, dark navy text, no additional columns or text.
Settings
- Resolution: 1K
- Aspect Ratio: 16:9
Reference images
Prompt
Use Reference 1 as the base tabletop scene. Replace the red mug with the exact dark navy-blue mug from Reference 2 in the same position and orientation. Replace the folded white towel with the exact green-and-white striped napkin from Reference 3 in the same folded area. Replace the green pear with exactly one orange from Reference 4 in the same position. Replace the blue notebook with the exact mustard-yellow hardcover notebook from Reference 5 in the same position. Add exactly the two lemons from Reference 6 to the right of the mug. Preserve the wooden table, camera, framing, wood grain, lighting, shadows, and all other spatial relationships from Reference 1. Do not copy the white product backgrounds from References 2–6, duplicate any asset, or add other objects.
Settings
- Resolution: 1K
- Aspect Ratio: 4:3
Reference images
Prompt
Replace only the sign text with exactly "NIGHT OWL". Preserve the original font style, spacing, perspective, sign material, lighting, and everything else.
Settings
- Resolution: 1K
- Aspect Ratio: 3:2
Reference images
Prompt
Use the portrait in Reference 1 for the person and the isolated jacket in Reference 2 for the garment. Dress the person from Reference 1 in the exact jacket shown in Reference 2. Preserve the person's identity, face, expression, skin, hair, hands, pose, body proportions, background, framing, and lighting from Reference 1. Preserve the jacket's material, color, collar, buttons, pockets, and sleeve patch from Reference 2. Do not copy the ghost mannequin or white product background.
Settings
- Resolution: 1K
- Aspect Ratio: 3:4
Reference images
Prompt
Change the lighting to warm golden-hour sunlight entering from the left window. Do not move, add, remove, or redesign any object. Update highlights and shadows coherently.
Settings
- Resolution: 1K
- Aspect Ratio: 16:9
Reference images
Prompt
Expand the canvas to a 16:9 landscape by naturally continuing the beach, ocean, and sky on both sides. Keep the complete original image centered without cropping, stretching, letterboxing, or modifying it.
Settings
- Resolution: 1K
- Aspect Ratio: 16:9
Reference images
Prompt
Place the sneaker on a wet outdoor basketball court at dusk. Preserve the exact sneaker shape, black geometric side mark, materials, stitching, sole geometry, and camera angle. Add physically coherent contact, reflections, and dusk lighting.
Settings
- Resolution: 1K
- Aspect Ratio: 1:1
Credits & pricing
GPT Image 2.5 Flare starts at 25 credits per generation. In practice, treat that as the minimum cost for each attempt and account for additional runs when refining text, composition, identity, or product details.
Frequently asked questions
Is GPT Image 2.5 Flare available now?
Yes. GPT Image 2.5 Flare is currently available in Banana Pie.
How many credits does it use?
Generations start at 25 credits. The exact charge may depend on the settings shown before you run the model.
How many reference images can I use?
You can provide up to 8 references, making it suitable for briefs that combine identity, garments, products, or other source material.
What is the maximum output resolution?
The listed maximum resolution is 4K.
What has Banana Pie evaluated?
Published selections cover typography, anatomy and contact, attribute binding, advertising composition, structured graphics, relighting, outpainting, text replacement, and reference-based edits. Each scenario has only an auto-selected run, so the evidence does not establish repeated-run consistency or superiority over another model.
How we test & disclosure
Conclusions come from a fixed prompt suite and its published selections, covering product materials, typography, anatomy, attribute binding, advertising layouts, structured graphics, reference-based edits, relighting, outpainting, and product preservation; because every selection was marked auto:only-run, the results are treated as workflow evidence rather than a consistency or comparison claim.
Banana Pie sells paid access to this model alongside other models in one studio. Our verdicts come from tests run through the same pipeline our users get.