GPT Image 2.5 Flare vs Nano Banana 2 for Image Generation
GPT Image 2.5 Flare was stronger across material rendering, anatomy, counting, composition, and relighting, while Nano Banana 2 led on multilingual typography, structured graphics, and product preservation during a scene change. Several reference-dependent edits ended in ties, so the better choice depends on whether your work prioritizes visual and spatial fidelity or stricter text and structure handling.
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
Depends on the taskBoth outputs visibly satisfy the requested object types and counts, and the differences in placement and rendering are too marginal to establish a reliable overall advantage without the six reference images.
- Criterion 1: tie. Both show a dark navy-blue mug and a folded green-and-white striped napkin in corresponding tabletop areas, with no visible red mug or white towel. Exact reference appearance and position preservation cannot be confirmed without seeing References 1–3.
- Criterion 2: tie. Both show exactly one orange and one mustard-yellow hardcover notebook, and neither visibly retains a green pear or blue notebook. Exact matching to References 4–5 cannot be assessed from these outputs alone.
- Criterion 3: tie. Both visibly contain exactly two lemons to the right of the mug, with no additional fruit beyond the requested single orange. The lemon pair has essentially the same arrangement in both images.
- Criterion 4: tie. Both retain a wooden tabletop, similar framing, consistent lighting, and plausible object shadows. Whether either preserves Reference 1 unchanged more accurately cannot be determined without the source image.
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 satisfy the visible text requirements equally well. Since the source image is unavailable, the preservation criteria do not provide a defensible basis for choosing one over the other.
- Exact text replacement: Both sides clearly render "NIGHT OWL", with no visible remnants of old text.
- Additional or malformed characters: Both sides show only "NIGHT OWL" with complete, correctly formed letters and no extra characters.
- Font, spacing, and perspective preservation: Both use similar uppercase sans-serif lettering aligned convincingly to the sign's perspective. The original image is not provided, so exact preservation cannot be assessed.
- Material, lighting, and scene preservation: Both signs retain visible wood grain, directional shadows, and coherent surrounding storefront detail. Whether either scene remained unchanged from the original cannot be 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.
Multi-reference identity and garment transfer
Depends on the taskThe references needed to judge identity and exact garment fidelity are absent, while the visible replacement succeeds on both sides and physical coherence differs only modestly.
- Identity preservation: Cannot be assessed reliably because Reference 1 is not shown; the outputs depict similar-looking people but visibly differ in facial features, expression, framing, and jacket coverage, so there is no basis to determine which better preserves the source.
- Jacket match: Cannot be assessed reliably because Reference 2 is not shown; both outputs depict a light-blue denim jacket with a cream shearling collar, metal buttons, chest pockets, and a red sleeve patch, but the visible designs differ in wash, distressing, collar size, pocket construction, and closure.
- Black suit replacement: Tie; neither output retains a visible black suit jacket, mannequin, or white product background, and both preserve a neutral interior background with a curtain at the left.
- Physical coherence: Right does slightly better; its open jacket naturally exposes the white shirt and follows the hands' position, while the left jacket is oddly closed across most of the torso but separates around the clasped hands at the hem. Both have generally plausible sleeves, shadows, and hand occlusion.
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 provides the clearer and more spatially coherent golden-hour relighting, with stronger directional highlights and object-specific shadows. Object preservation cannot be verified without the original image.
- Warm golden-hour light clearly enters from the left window: Left does better; bright low-angle sunlight is visibly streaming through the left window and illuminating the floor, sofa, wall, and table with a distinctly warm golden tone. Right also shows warm light from the left, but the incoming light is less pronounced near the window.
- Highlights and shadow directions respond coherently to the new light source: Left does better; highlights fall on left-facing and upper surfaces while the table, sofa, plant, and window cast elongated shadows consistently toward the right. Right is broadly coherent, though the bright rectangular wall patch and nearby plant-like shadow are less clearly connected to the visible window geometry.
- The result is more than a uniform yellow color filter: Left does better; it shows localized sun patches, window-frame projections, plant shadows, bright highlights, and darker occluded areas. Right also has directional illumination and shadows rather than merely uniform tinting, but its lighting variation is somewhat less detailed.
- No furniture or decor is moved, added, removed, or redesigned: This cannot be assessed reliably because the original image is not shown. Both outputs visibly contain the same general set of objects: a sofa, coffee table, rug, potted tree, floor lamp, and left window.
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: Nano Banana 2The right image more convincingly preserves a clean product appearance while integrating the sneaker through contact, reflection, and dusk illumination. The missing source image limits confidence on exact preservation.
- Wet outdoor basketball court at dusk: tie. Both visibly show the sneaker on a wet court with a hoop, fencing, puddles, and dusk-colored sky; the left has stronger sunset highlights, while the right shows court markings more clearly.
- Silhouette, sole geometry, stitching, materials, and camera angle consistency: right does better visually. Its shoe construction looks cleaner and less altered by added water droplets, but exact consistency with the original cannot be fully assessed because the source sneaker image is not shown.
- Black geometric side mark: right does better. The mark is crisp, unobstructed, and also clearly reproduced in the puddle reflection; exact preservation from the source cannot be verified without seeing the source image.
- Contact shadow, wet-surface reflection, and dusk lighting: right does better. It has a clear contact shadow and a recognizable full-shoe reflection aligned beneath the sneaker, while the left mainly shows a distorted partial reflection of the black mark despite strong dusk lighting.
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.