GPT Image 2.5 Flare vs Nano Banana 2 for Image Generation
Pick GPT Image 2.5 Flare for material rendering, anatomy, precise composition, object binding, reference preservation, text replacement, relighting, and product-preserving edits. Pick Nano Banana 2 for multilingual typography and structured UI graphics.
Side-by-side facts
| Feature | GPT Image 2.5 Flare | Nano Banana 2 |
|---|---|---|
| Developer | OpenAI | |
| Availability on Banana Pie | Available now | Available now |
| Credits from | 25 credits | 40 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 FlareThe left image follows the requested material and lighting behavior more convincingly, especially in its restrained, aligned reflection and more exact half-fill level.
- Exactly one bottle and no extras: Tie. Both images show one upright transparent rectangular perfume bottle, with no visible text, logo, plants, or separate objects.
- Half-filled amber liquid: Left does better. Its liquid line sits very close to the midpoint of the rectangular body; the right bottle appears filled somewhat above halfway.
- Coherent refraction and reflection: Left does better. Its glass edges distort highlights consistently and the restrained amber reflection remains aligned beneath the bottle. The right image has a conspicuous bottle-shaped ghost reflection displaced to the right and an unusually strong projected amber caustic, making the surface optics less coherent and less subtle.
- Upper-left lighting and contact shadow: Left does better. It has clear upper-left highlights, grounded contact at the bottle base, and a consistent shadow extending toward the lower right. The right also follows the lighting direction, but its hard dark shadow and bright caustic compete with the contact shadow and look less natural.
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
Better here: Nano Banana 2Right fulfills all four requirements, while Left visibly breaks the first requested line into two lines. The right poster is the clear winner.
- Exactly four centered text lines and no additional text: Right does better. Right shows exactly four centered lines, while Left wraps "MOONLIGHT MARKET" across two visible lines, producing five lines in total.
- Exact wording and order: Right does better. It renders "MOONLIGHT MARKET", "月光市集", "18 OCT", and "RIVER HALL" exactly in that order, each on its own line. Left uses the same wording and order but splits "MOONLIGHT MARKET" between two lines.
- Required colors: Tie. Both render "月光市集" in red and the other text, "MOONLIGHT MARKET", "18 OCT", and "RIVER HALL", in black.
- Legibility, spacing, and alignment: Right does better. Its four lines are clearly legible, centered, and arranged as a coherent four-line block. Left is also legible and centered, but the headline wrap disrupts the requested line structure and creates less consistent vertical spacing.
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
Better here: GPT Image 2.5 FlareLeft is the stronger result. It depicts the required pottery action clearly and has substantially more plausible hand anatomy, while Right's upper hand has visibly distorted and ambiguous fingers.
- 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 presents both hands more prominently and with clearer outlines; in Right, several fingers are obscured by the bowl and by overlap.
- Each hand has exactly five distinct, naturally formed fingers: Left does better. Its two hands read as five-fingered with generally distinct digits, although some fingertips are partially hidden by the bowl. Right's upper hand has unclear, crowded digits that are difficult to count and appear malformed or fused.
- The fingers, joints, and contact with the clay are anatomically plausible: Left does better. The finger lengths, knuckles, bends, and two-handed grip look coherent. Right's upper hand has distorted finger shapes and implausible spacing where the fingers enter the bowl.
- The clay bowl, spinning wheel, and shaping action are clearly recognizable: Both satisfy this criterion, but Left does slightly better because the bowl, wheel surface, and two points of hand contact are larger and clearer in the frame.
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
Better here: GPT Image 2.5 FlareLeft follows the requested scene more precisely, especially by keeping the setting free of additional visible objects while preserving all requested counts and attributes.
- Composition and count: Both sides show exactly three red cubes on the left, two blue spheres on the right, and one yellow mug centered behind them; this criterion is a tie.
- Attribute binding: Both sides visibly depict red wooden cubes, blue transparent glass spheres, and a yellow ceramic mug, though the left makes the glass material and yellow color somewhat clearer; left does better.
- Handle direction: Both mugs have handles clearly extending to the right; this criterion is a tie.
- No additional objects or text: Left shows only the requested objects and no text. Right has visible background items, including a plant, planter, and window, although it also has no text; left does better.
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 FlareLeft follows the requested composition more closely, chiefly because its trail visibly starts at the bottom-left and its top spacing is more compliant. Both outputs add the forbidden text "AERO" on the shoe.
- Exactly one silver shoe and orange trail: Left does better. Both show one silver shoe in the lower-right, but Left’s orange trail clearly enters from the bottom-left and curves into the scene; Right’s foreground trail reaches the bottom-right edge.
- Only visible text: Right does slightly better. Both correctly render "RUN LIGHT" and "42 KM", but both also violate the requirement by showing "AERO" on the shoe. Left’s extra "AERO" is larger and more conspicuous, while Right’s is small on the tongue.
- Top 15 percent and headline placement: Left does better. Left leaves a substantial clear area above "RUN LIGHT" and places the headline directly below it. On Right, "RUN LIGHT" begins within the upper empty region, leaving less than the requested clear top area.
- Visibility and visual hierarchy: Tie. Both keep the shoe, trail, headline, and round badge fully visible, with clear separation and an effective 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: Nano Banana 2RIGHT follows the requested structure without adding any extra text, while LEFT violates the explicit no-additional-text requirement.
- Title and columns: Tie. Both render the exact title "CHOOSE YOUR PLAN" and exactly three columns labeled "STARTER", "PRO", and "TEAM".
- Required rows: Tie. Every column on both sides contains exactly the three aligned row labels "PROJECTS", "STORAGE", and "SUPPORT".
- Select buttons: Tie. Every column on both sides contains exactly one blue button labeled "SELECT".
- Alignment and no additional text: Right does better. Its three columns are evenly aligned and contain only the requested text. Left adds unrequested values: "5", "10 GB", "Email", "25", "100 GB", "Priority", "Unlimited", "1 TB", and "24/7".
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 2.5 FlareLEFT more faithfully preserves the base scene while binding all requested replacement objects correctly. RIGHT includes the correct object set but alters the original layout more substantially.
- Criterion 1: LEFT does better. Its dark navy-blue, gold-rimmed mug closely preserves the red mug's original position, scale, and handle orientation, while its striped napkin retains the original towel's broad horizontal footprint. RIGHT's mug is smaller and shifted, and its napkin is substantially rotated and refolded relative to the base.
- Criterion 2: LEFT does better. Both replace the pear and notebook correctly with one leafy orange and a mustard-yellow hardcover notebook with a black elastic, leaving none of the original objects. LEFT preserves the pear and notebook positions, orientations, and scale more closely; RIGHT shifts the orange and noticeably changes the notebook's placement and framing.
- Criterion 3: The two sides are even. Each shows exactly two yellow lemons to the right of the mug, with a leaf on the left lemon and no extra or missing fruit beyond the separately requested orange.
- Criterion 4: LEFT does better. Its camera framing, tabletop coverage, wood-grain landmarks, and overall object layout stay closer to Reference 1. RIGHT changes several spatial relationships, most visibly by rotating the napkin, shifting the orange and mug, and moving and enlarging the notebook within the frame.
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
Better here: GPT Image 2.5 FlareLEFT is the clear winner because both outputs replace the text correctly, but LEFT much better fulfills the instruction to change only the sign text while preserving everything else.
- Sign text replacement: Both sides read exactly "NIGHT OWL", with "MORNING BEAN" completely removed.
- Character integrity: Both sides render only "NIGHT OWL" with no additional, duplicated, or malformed characters.
- Font, spacing, and perspective: LEFT is closer to the reference, preserving the original tall sans-serif character style, broad letter spacing, centered placement, and sign perspective. RIGHT is also clean but uses tighter overall placement and a noticeably changed viewpoint.
- Material, lighting, and scene preservation: LEFT preserves the reference sign texture, shadows, storefront geometry, framing, and surrounding scene much more faithfully. RIGHT substantially reframes and reconstructs the storefront, changing the crop, window and door proportions, lamp positions, planter, bench, and scene geometry.
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.
Multi-reference identity and garment transfer
Better here: GPT Image 2.5 FlareLeft is the stronger result overall because it preserves the person more faithfully and transfers the specified jacket much more accurately. Right has slightly cleaner garment integration, but its altered face, framing, distressed denim, smaller collar, and open front depart more substantially from both references.
- Identity preservation: Left does better. Its face, expression, hair placement, head size, shoulder width, hand pose, and framing remain very close to Reference 1, while Right noticeably changes the facial proportions and uses a looser, smaller-scale framing.
- Jacket match: Left does better. It more closely reproduces Reference 2's light-blue denim, thick cream shearling collar, closed front, bronze buttons, flap chest pockets, lower pockets, and red sleeve patch. Right changes the jacket to a distressed wash, makes the collar smaller, and wears the front open.
- Full replacement: Both sides do well. The black suit jacket is completely absent in each output, and neither copies the ghost mannequin or white product background; both retain the original gray interior setting.
- Physical coherence: Right does slightly better. Its open jacket edges, visible white shirt, cuffs, hand occlusion, folds, and shadows read more naturally, while Left has irregular duplicated buttonholes along the closed front and a somewhat awkward split hem between the hands.
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.
Coherent scene relighting
Better here: GPT Image 2.5 FlareLeft delivers the stronger coherent relighting and preserves the reference scene far more faithfully. Right creates plausible warm sunlight, but materially changes the room's composition and object proportions.
- Warm golden-hour light clearly enters from the left window: Left does better; intense low-angle sunlight is visibly entering through the left window and spreading across the floor, rug, sofa, and wall, while Right also shows warm left-side light but with a less pronounced connection to the window.
- Highlights and shadow directions respond coherently to the new light source: Left does better; window-frame and foliage shadows extend consistently toward the right across the wall, sofa, rug, and floor, with highlights facing the window. Right is broadly coherent, but some large wall shadow shapes are less clearly tied to the visible window geometry.
- The result is more than a uniform yellow color filter: Left does better; it introduces localized sunlit patches, crisp projected window and plant shadows, bright edge highlights, and darker occluded areas. Right also has directional illumination, but more of the room carries a broadly uniform amber cast.
- No furniture or decor is moved, added, removed, or redesigned: Left does substantially better; the sofa, table, rug, plant, lamp, window, and overall framing closely match the reference. Right changes the composition and apparent designs or proportions of several elements, including the narrower window arrangement, smaller sofa, smaller table, shifted plant, and altered rug placement.
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.
Product preservation across scene change
Better here: GPT Image 2.5 FlareLEFT better preserves the reference sneaker while placing it convincingly in the requested scene. RIGHT has the more legible wet-surface reflection, but its changes to the shoe profile and side mark are more consequential.
- Scene placement: Both convincingly show a wet outdoor basketball court at dusk, with hoops, fencing, court markings, and sunset lighting; LEFT is slightly stronger because the wet court texture, standing water, and illuminated background read more immediately and naturally.
- Product consistency: LEFT is closer to the reference in silhouette, toe and heel proportions, sole geometry, panel stitching, material texture, and the original three-quarter camera angle. RIGHT shifts toward a flatter side profile and alters several proportions and panel details.
- Side mark preservation: LEFT preserves the black geometric mark more faithfully, including its placement, thickness, angular junction, and branch lengths. RIGHT keeps the recognizable design but changes the branch proportions and overall placement slightly.
- Physical coherence: RIGHT is slightly stronger here because the shoe has a clear contact shadow and a continuous puddle reflection aligned beneath it, while LEFT's dark reflected mark appears detached from the shoe and less consistent with the surrounding reflections. Both have plausible dusk illumination.
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.
Cross-ratio outpainting
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.
Cost & latency
GPT Image 2.5 Flare starts at 25 credits, while Nano Banana 2 starts at 40 credits, making Flare the lower-credit option per generation. In this run's small latency sample, response times varied for both models, so these observations should not be treated as benchmark figures.
How we compared & disclosure
We used one fixed prompt per scenario and ran it once through each model, then published the outputs as generated. This is a reproducible fixed-prompt comparison, and Banana Pie sells access to both models on this site.
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.