GPT Image 1.5 vs 2 vs 2.5: Which Should You Use?

Start with GPT Image 2.5 Flare for quick creative iterations. Consider Sunburst when final image quality or a demanding edit matters more than speed. GPT Image 2 remains a useful point of comparison if it already produces results you like. GPT Image 1.5 is mainly relevant to older workflows.

The useful question is what you need the image to do: explore a new idea, follow a detailed layout, or change one element while keeping the rest recognizable. This guide explains the differences through product photos, advertising layouts, and reference-based edits.

The next section includes previously published model demonstrations. The four practical prompts later in this guide use image outputs supplied for this article, including one Flare/Sunburst pair. These are illustrative examples, not a controlled, multi-run model benchmark.

GPT Image 1.5, 2, Flare and Sunburst at a Glance

Flare or Sunburst: choose around the stage of your work

When you are still deciding between a studio shot, a kitchen scene, and an outdoor setting, quick variations help you find a direction. That makes Flare a sensible place to start. Once a composition works, inspect the image at the size where you will actually use it.

If the product finish, lettering, or a sensitive edit still falls short, Sunburst is a candidate to compare. OpenAI positions it for work where editing precision matters most. A product photo or portrait does not automatically require one particular model; the demands of the specific image should guide the choice.

Increasing Flare’s quality setting is also different from choosing Sunburst. Treat model selection and quality as separate decisions, and compare the results that matter to your project.

Ready to try a brief? Open GPT Image 2.5 Generator. Our generator offers Flare for creating images and working from references.

What Changes with GPT Image 2.5?

GPT Image 2.5 was introduced on September 8, 2026. The changes are particularly relevant when a good-looking image also needs to follow a detailed brief.

Edits that respect the original subject

OpenAI reports improved precise editing and subject preservation in both 2.5 models. Its launch overview also describes better consistency across successive edits.

For a product photograph, that means judging the replacement background and the product itself. Has the cap changed shape? Is the label still correct? Does the bottle retain its original color? A convincing scene can still be unsuitable if it changes the item you are selling.

For a portrait, check the face, expression, proportions, and other features that make the person recognizable. Before an edit, state what may change and what must stay fixed. Afterward, compare those protected details with the original.

More demanding layouts and more convincing materials

OpenAI’s announcement highlights improvements in complex visual instructions, natural lighting, and texture. These are useful areas to inspect when judging a marketing image: does the copy have room, does the light make sense, and do the materials look believable?

Make those requirements concrete. “Leave room for a headline on the right” gives a clear layout goal. “Soft window light from the left” gives a lighting direction. For glass, fabric, or stone, describe the finish you want instead of relying on a broad word such as “premium.”

Three Official Examples to Examine

1. A sketch becomes a realistic landscape

OpenAI’s river-valley example pairs a line drawing with Flare and Sunburst interpretations.

Published examples · Both outputs: 1024 × 1536, Medium. The landscape drawing becomes portrait-format outputs; framing and proportions are not preserved exactly.

Compare the placement of the mountains, stream, and tree, then examine how each output handles water, foliage, and rock. This is a useful exercise in judging composition and materials separately. The sketch guides a newly created scene; it is not evidence that a small edited region leaves every other pixel unchanged.

2. An advertising layout includes exact wording

The Thread streetwear example includes the requested phrase “Yours to Create.” in a composed advertisement.

Published examples · Both outputs: 1024 × 1536, Medium. Both include “Yours to Create.”, with different text placement and prominence.

Check the wording, its prominence, and its relationship to the people in the image. Would the message remain readable on a phone? Would your intended crop cut it off? A correct phrase still needs a useful position and size. These are decisions to make before approving any generated advertisement.

3. Clothing references guide an edit of the same person

OpenAI’s clothing-change example uses a person’s photo plus separate jacket, tank-top, and boot references to guide Flare and Sunburst outputs.

Four inputs: one person photo + three clothing references

Published examples · Both outputs: 1024 × 1536, Medium. The outfit elements appear in both edits; neckline, sleeve and other small details still differ.

This example brings editing and multiple references together. Inspect the person’s face and pose alongside the garments, then look at how the clothes fit the body and lighting. It helps make the goal clear: use the supplied clothing while keeping the original person recognizable. For your own image, check the result against each input rather than judging the finished outfit alone.

For a focused comparison with matched settings and a three-step edit sequence, see our GPT Image 2.5 Flare vs Sunburst comparison.

Four Ready-to-Use Prompts with Real Image Examples

Each prompt below is paired with a supplied image result. For the editing task, compare the original with the edited image. For the three-reference task, inspect the inputs alongside the Flare and Sunburst outputs. These are individual examples, not a repeatability or speed benchmark.

1. Create a product photo with room for a headline

Start by deciding where the image will appear. A product image for a landing page may need space for copy, while a square social post may need a tighter composition. This prompt leaves space beside the product so you can add a headline afterward.

Create a realistic product photograph of an unbranded amber glass
skincare bottle on pale limestone. Use soft window light from the left,
believable glass reflections, a subtle contact shadow, and visible stone
texture. Keep the bottle upright on the left, with clear space for a
headline on the right. Use a warm, understated editorial style.
Do not include text, logos, or extra objects.

Generated example · GPT Image 2.5 Flare

Look for reflections that follow the light source and a shadow that connects the bottle to the surface. Check the space reserved for your headline at the final crop.

2. Make a poster with a clear text hierarchy

Specify the exact words, their order, and where they belong. Keep the message short enough for the format. Here, the headline occupies the upper part of the poster, with the drink anchoring the lower half.

Create a vertical poster for a neighborhood coffee shop.
Place a realistic iced latte on a wooden table in the lower half.
Reserve the upper third for a large headline over a simple background.
Write "A LITTLE PICK-ME-UP" exactly once in readable cream lettering.
Place "Cold brew. Warm welcome." beneath the headline in smaller type.
Use natural afternoon light and a warm brown-and-cream palette.
Do not add prices, logos, or any other text.

Generated example · GPT Image 2.5 Flare

Proofread both lines and check punctuation. Then reduce the image to a phone-sized preview: the headline should still lead, and the smaller line should remain readable. If precise typography is essential, you can generate the background and add your final text in a design tool.

3. Change a product background while protecting the product

Upload a product photo you have permission to use. Identify the details that define the product before asking for the new setting. This example keeps the object and its existing lighting, while allowing a suitable shadow on the replacement background.

Edit the uploaded image of an unbranded amber glass dropper bottle.
Replace only the background and stone setting with a softly lit,
pale gray studio backdrop. Keep the amber glass bottle and black cap
the same shape, color, size, position, and camera angle. Preserve the
existing bottle lighting and reflections as closely as possible.
Add a natural contact shadow consistent with the existing bottle light.
Do not add labels, logos, text, props, or additional bottles.

Before and after · GPT Image 2.5 Flare

The limestone setting becomes a pale gray studio scene. The bottle and black cap remain recognizable, while the surrounding light and shadows are reinterpreted. This edit starts from a separate reference photo, not the new Flare product photo in Example 1.

Compare the silhouette, dropper cap, and glass color with the original at full size. If a detail changes, return to the original image with a narrower request. Where exact pixels must be retained, keep the original product area and edit the surrounding background in an image editor.

4. Combine a product, a setting, and a visual style

Give each reference a clear role. Use one to define the product, another for the setting, and a third for lighting and atmosphere. Set a priority when they conflict: the style reference should not silently recolor the product.

Create a realistic product photo using these three references.
Image 1 defines the unbranded amber dropper bottle. Preserve its glass
color, shape, black cap, proportions, and overall appearance.
Image 2 defines only the bathroom setting and layout. Do not copy
unrelated objects. Image 3 guides the lighting mood and neutral palette.
Do not copy its texture literally or recolor the amber bottle.
Place the product from Image 1 naturally on the vanity from Image 2.
Apply Image 3's gentle warm lighting where it remains realistic.
If the references conflict, Image 1 takes priority for the product.
Do not invent labels, logos, additional products, or extra text.

Three inputs · product, setting, and lighting reference

Two results · GPT Image 2.5 Flare and Sunburst

Both images use the amber bottle, vanity setting, and warm lighting as visual guides. The counter texture and framing differ between the two outputs. Compare how each handles the specific brief rather than treating one pair as proof of overall model quality.

Review the result in the same order: product accuracy first, setting second, lighting and atmosphere third. If an unwanted object appears, identify which reference introduced it and make that restriction more explicit.

Choose Size, Quality, and Credits for the Job

Start with the shape your image needs: a portrait poster, a square post, or a wide website banner. Resolution determines the output’s dimensions; quality is a separate generation setting. Use the controls available in the generator, then inspect the result at its intended display size.

For an early concept, prioritize a workable composition. Once the direction is right, decide whether finer textures, edges, or lettering justify a larger image or higher quality setting. Your total wait also depends on the task, settings, and service conditions.

Check the credit amount shown before you generate, and review it again after changing your settings or references. Use the pricing page for current plan and credit information. A fixed price quoted in a blog can become outdated as available options change.

Frequently Asked Questions

Can I reuse a prompt that worked in GPT Image 2?

Start with it. Keeping the brief and references the same makes it easier to see what changes. If the result misses something, refine that particular requirement instead of rewriting the whole prompt at once.

How many reference images should I use?

Use the images needed to explain the task, within the generator’s displayed limit. Three well-chosen references with clear roles can communicate a product, setting, and style. Additional images should contribute useful information rather than introduce conflicting subjects or directions.

Is GPT Image 1.5 still worth considering?

It can be relevant when continuing an older project or comparing familiar results. For new ongoing work, check which models your chosen app supports and compare the available options using a brief you actually need.

How can I make a useful model comparison?

Use the same prompt, references, image shape, and comparable settings wherever possible. Judge the qualities that affect your project: correct wording, recognizable subjects, materials, composition, and waiting time. Review several attempts before treating one attractive sample as evidence of a consistent advantage.

Try Flare with Your Own Creative Brief

Choose one image you need: a product scene, a poster, or a focused edit. Copy a template above, replace the details with your own, and review the settings and credit estimate. Compare the result with the brief before deciding what to refine.

Try GPT Image 2.5 Flare and create your first variation.