GPT Image 2 vs GPT Image 2.5 Flare for image generation
The results split by task: GPT Image 2.5 Flare has the edge for relighting, advertising composition, and product-focused scenes, while GPT Image 2 is stronger for structured UI graphics and reference-based object editing. The models tie on typography, anatomy and contact, counting, text replacement, and outpainting, so the better pick depends on your workflow.
Side-by-side facts
| Feature | GPT Image 2 | GPT Image 2.5 Flare |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Availability on Banana Pie | Available now | Available now |
| Credits from | 20 credits | 25 credits |
| Max resolution | 4K | 4K |
| Reference images | Up to 8 | Up to 8 |
Scenario by scenario
Same prompt. Two models. Judge the difference in the published images below.
Product material and lighting
Better here: GPT Image 2.5 FlareBoth outputs follow the prompt closely, but the right image has the clearer half-fill level and more legible upper-left lighting. Its minor internal-tube distortion does not outweigh those advantages.
- Exactly one transparent rectangular perfume bottle is visible, with no text, logo, or extra objects: tie. Both images show a single upright rectangular bottle on bare wet stone, with no visible writing, branding, plants, or separate props.
- The bottle is visibly filled halfway with amber liquid: right does better. The right liquid line sits very close to the midpoint of the bottle chamber, while the left appears somewhat more than half full.
- The glass refraction and the reflection on the wet black stone are physically coherent: left does better. Its glass edges, amber transmission, and aligned reflection read consistently; the right has a visibly curved internal tube and more irregular optical distortion near the bottle base.
- Upper-left lighting produces consistent highlights and a plausible contact shadow: right does better. The upper-left light direction is especially clear from the bright left-side highlights and the grounded shadow extending into the darker right side.
Prompt & settings used
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.
Multilingual typography
Depends on the taskBoth outputs are effectively identical against the rubric. They reproduce the wording, order, and colors correctly, but both visibly split the requested first line into two lines, resulting in five lines instead of exactly four.
- Exactly four centered text lines and no additional text: Tie. Both posters contain five visible text lines because "MOONLIGHT MARKET" is split across "MOONLIGHT" and "MARKET"; neither contains additional wording.
- Exact text and order: Tie. Both render "MOONLIGHT", "MARKET", "月光市集", "18 OCT", and "RIVER HALL" in the requested order, but both fail to keep "MOONLIGHT MARKET" on one line.
- Text colors: Tie. Both render "月光市集" in red and all visible English text in black.
- Legibility, spacing, and alignment: Tie. Both posters have sharp, legible type with centered alignment and broadly even vertical spacing; no clear visual advantage is apparent.
Prompt & settings used
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.
Human anatomy and contact
Depends on the taskLeft is stronger on the prompt's strict hand and finger visibility requirements, while Right has more convincing anatomy and shaping contact. These advantages balance across the rubric.
- Exactly two fully visible hands are present, with no extra hands or people: Left does better. Both images show one person and exactly two hands, but Left exposes both hands more completely; in Right, substantial parts of the fingers are hidden inside or behind the bowl.
- Each hand has exactly five distinct, naturally formed fingers: Left does better. Five separate digits can be followed on each hand more clearly in Left, while overlapping and occlusion make the exact count on Right's hands less certain.
- The fingers, joints, and contact with the clay are anatomically plausible: Right does better. Its inside-and-outside grip follows the bowl wall naturally, with more convincing finger alignment; several fingertips in Left look crowded or partially fused by clay.
- The clay bowl, spinning wheel, and shaping action are clearly recognizable: Right does better. The bowl and wheel are prominent in both, but Right's opposing hand placement more clearly communicates active shaping.
Prompt & settings used
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.
Counting and attribute binding
Depends on the taskBoth images fulfill all four criteria with no clear compliance difference. Their object counts, attribute binding, arrangement, handle orientation, and clean background are effectively equivalent.
- Object count and placement: tie; both images visibly show exactly three red cubes in a row on the left, exactly two blue spheres on the right, and one yellow mug centered behind them.
- Color, shape, and material binding: tie; both show red, subtly textured wooden cubes, blue transparent reflective glass spheres, and a glossy yellow ceramic mug.
- Mug handle direction: tie; the mug handle is clearly visible on the right side in both images.
- No additional objects or text: tie; neither image contains any visible extra objects or text.
Prompt & settings used
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.
Advertising composition
Better here: GPT Image 2.5 FlareRight follows the requested layout more closely because its headline sits nearer the intended position directly below the empty top area. Both otherwise perform similarly and both violate the text restriction by placing "AERO" on the shoe.
- Exactly one silver shoe and orange trail: Tie. Each image shows one silver shoe in the lower-right, with an orange trail entering from the bottom-left and curving through the scene.
- Visible text: Tie. Both correctly render "RUN LIGHT" and "42 KM", but both also visibly render "AERO" on the shoe, so neither meets the requirement that those be the only visible texts.
- Top spacing and headline placement: Right does better. Both keep the top area uncluttered, but Right places "RUN LIGHT" closer to directly below that reserved area; Left leaves substantially more empty space before the headline.
- Visibility and hierarchy: Tie. Both keep the headline, badge, trail, and single shoe fully visible and establish a clear hierarchy led by the headline and shoe.
Prompt & settings used
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.
Structured UI graphic
Better here: GPT Image 2Left follows the prompt exactly, while the right violates the explicit requirement for no additional text.
- Title and columns: Tie. Both render the exact title "CHOOSE YOUR PLAN" and exactly three columns labeled "STARTER", "PRO", and "TEAM".
- Rows: Tie. Each column on both sides contains three aligned rows labeled "PROJECTS", "STORAGE", and "SUPPORT".
- Buttons: Tie. Each column on both sides contains exactly one blue button labeled "SELECT".
- Alignment and additional text: Left does better. Both have evenly aligned columns, but the right adds plan-detail text: "5", "10 GB", "Email", "25", "100 GB", "Priority", "Unlimited", "1 TB", and "24/7". The left has no additional text.
Prompt & settings used
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.
Six-reference object binding and edit
Better here: GPT Image 2LEFT is the stronger result because it cleanly renders the requested two lemons without the potentially cross-bound leaf seen on RIGHT and keeps the edited objects slightly better contained in the frame. Most other requested replacements are comparably successful.
- Criterion 1: Tie. Both images visibly show a dark navy-blue mug in the lower-left area and a folded green-and-white striped napkin in the upper-left area, with no red mug or plain white towel remaining. The unseen references prevent judging exact reference matching.
- Criterion 2: Tie. Both images show exactly one orange near the upper center and a mustard-yellow hardcover notebook on the right; no green pear or blue notebook is visible. Exact reference matching cannot be assessed without the source images.
- Criterion 3: Left does better. Both show two lemons to the right of the mug, but RIGHT gives one lemon a prominent green leaf similar to the leaf treatment on the orange, creating a visible cross-bound appearance. LEFT keeps both lemons distinct and unadorned, with no extra fruit.
- Criterion 4: Left does slightly better. Both retain a coherent wooden tabletop, consistent lighting, and plausible shadows, but LEFT keeps more of the notebook visible within the frame while RIGHT crops it more heavily at the right edge. Exact preservation from Reference 1 cannot be assessed because that reference is not shown.
Reference images
Prompt & settings used
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.
In-image text replacement
Depends on the taskBoth outputs render the requested wording cleanly and are visually near-identical. Neither has a visible text defect or clear preservation advantage.
- Exact text and removal: Tie. Both signs visibly read exactly "NIGHT OWL", and no old text is visible in either image.
- Additional or malformed characters: Tie. Both signs contain only "NIGHT OWL" with no extra, duplicated, or malformed characters.
- Font, spacing, and perspective preservation: Tie. Both use clean uppercase sans-serif lettering aligned convincingly with the sign's perspective; preservation against the original cannot be fully assessed because the source image is not shown.
- Material, lighting, and scene preservation: Tie. The green painted wood grain, shadows, lamps, storefront, plants, and pavement appear essentially identical between the images; preservation against the original cannot be fully assessed without the source image.
Reference images
Prompt & settings used
Prompt
Replace only the sign text with exactly "NIGHT OWL". Preserve the original font style, spacing, perspective, sign material, lighting, and everything else.
Coherent scene relighting
Better here: GPT Image 2.5 FlareRIGHT more convincingly performs coherent relighting, with stronger directional sunlight and consistent projected shadows rather than primarily applying an overall warm cast.
- Warm golden-hour light clearly enters from the left window: right does better; bright sunlight visibly pours through the left window and extends across the wall, sofa, rug, and floor, while left has a warm source but less pronounced illumination across the room.
- Highlights and shadow directions respond coherently to the new light source: right does better; window-frame shadows, plant shadows, and long furniture-leg shadows all project consistently toward the right. Left has plausible wall shadows, but weaker directional shadowing on the rug and floor.
- The result is more than a uniform yellow color filter: right does better; it combines warm highlights with distinct bands of sunlight and cooler shaded areas on the sofa, wall, rug, and floor. Left looks comparatively more uniformly amber.
- No furniture or decor is moved, added, removed, or redesigned: this cannot be fully assessed without the original image. The two outputs visibly contain the same major furnishings and decor in matching positions, so neither side has a demonstrable advantage.
Reference images
Prompt & settings used
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.
Cross-ratio outpainting
Depends on the taskBoth images satisfy the visible outpainting requirements to a very similar degree. The preservation-specific criteria cannot be verified from these outputs alone, and neither has a clear visible extension defect.
- 16:9 output with natural side content: Tie. Both outputs are landscape compositions with beach, ocean, and sky extending naturally to both sides; neither shows letterboxing or an obviously empty side.
- Complete original centered without cropping or stretching: Tie. The cabin is centered and its proportions look natural in both, but the original source image is not shown separately, so complete preservation and absence of cropping cannot be verified.
- Original cabin, shoreline, and internal composition unchanged: Tie. The visible cabin and shoreline are coherent in both, but whether either model modified the original content cannot be assessed without the source image.
- No visible seams, mirrored filler, or repeated objects: Tie. Both extensions appear continuous across the sand, waves, horizon, and clouds, with no clear seam, mirrored pattern, or duplicated object visible.
Reference images
Prompt & settings used
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.
Product preservation across scene change
Better here: GPT Image 2.5 FlareRight more convincingly integrates the sneaker into the requested wet dusk court, mainly through stronger wet-surface treatment and lighting coherence. Exact product preservation cannot be verified without the source image.
- Scene placement: Right does better. It more clearly shows a wet outdoor basketball court through visible court markings, a hoop and fence, standing water, illuminated lamps, and an orange dusk sky; Left also establishes the setting, but the court markings and wetness are less prominent.
- Sneaker consistency: This cannot be fully assessed because the original sneaker reference is not shown. Between the outputs, both display a similar silhouette, low camera angle, layered sole, stitching layout, white leather-like upper, and woven collar, though Right adds conspicuous water droplets across the materials.
- Geometric side mark: This cannot be verified as unchanged without the original reference. Both render a clear, readable black angular mark with nearly the same branching shape and placement, so neither has a decisive visible advantage.
- Physical coherence: Right does better. The shoe has visible droplets, a grounded contact shadow, warm sunset highlights along its right-facing edges, and reflections that align with the bright sunset and court lights. Left has a clearer shoe reflection, but the nearly dry shoe contrasts somewhat with the soaked surface.
Reference images
Prompt & settings used
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.
Multi-reference identity and garment transfer
Reference images
Prompt & settings used
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.
Cost & latency
GPT Image 2 starts at 20 credits, while GPT Image 2.5 Flare starts at 25, making GPT Image 2 the lower-credit option per generation. In this run's small latency sample, GPT Image 2 ranged from about 81 s to 190 s per scenario, while GPT Image 2.5 Flare ranged from about 71 s to 101 s; these observations describe this run, not a general benchmark.
How we compared & disclosure
For each scenario, we used one fixed prompt and made one run per model, then published the outputs as generated. Banana Pie sells paid access to both models.
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.