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Comparing GPT-Image 1.5 vs GPT-Image 2 for image content? This page breaks down how the two image models differ on realism, text rendering, editing flexibility, cost, and final polish — with a clear recommendation for which to test first.
GPT-Image 1.5 high-fidelity image generation with strong prompt adherence for accurate, detailed scenes. GPT-Image 2 next-generation model with near-perfect text rendering, mask-based inpainting, and commercial editing control. Below you'll find a quick verdict, a best-for breakdown, an attribute-by-attribute scoring table, real side-by-side outputs, and answers to the most common questions.
Which Model Should You Choose?
Short answer: GPT-Image 1.5 is better for accurate prompt adherence, while GPT-Image 2 is better for text-heavy commercial creative. If you are creating image content, start with GPT-Image 1.5 because it costs fewer credits per output and lets you test more directions, then switch to GPT-Image 2 for polished, higher-resolution final assets.
| If you need… | Choose | Why |
|---|---|---|
| Lower-cost exploration and more variants per credit | Either model | Both start at a similar credit cost. |
| Polished, ready-to-ship final assets | GPT-Image 2 | GPT-Image 2 produces stronger final-asset polish for campaign-ready output. |
| Readable text in designs, overlays, and packaging | GPT-Image 2 | GPT-Image 2 renders labels and typography more cleanly. |
| Editing and reference-driven iteration | GPT-Image 2 | GPT-Image 2 is more flexible for editing from references or existing outputs. |
| Consistent characters and repeated campaign visuals | Either model | Either model holds character and style consistency better across outputs. |
| image content specifically | GPT-Image 2 | GPT-Image 2 scores higher on realism, which matters most for image content. |
How They Compare, Criterion by Criterion
| Criteria | GPT-Image 1.5 | GPT-Image 2 | Winner |
|---|---|---|---|
| Realism | ●●●●○ | ●●●●● | GPT-Image 2 |
| Text accuracy | ●●●●○ | ●●●●● | GPT-Image 2 |
| Editing flexibility | ●●●○○ | ●●●●● | GPT-Image 2 |
| Cost efficiency | ●●●○○ | ●●●○○ | Tie |
| Final polish | ●●●●○ | ●●●●● | GPT-Image 2 |
| Consistency | ●●●●○ | ●●●●○ | Tie |
| Best first test | ●●●○○ | ●●●○○ | Tie |
How We Compare These Models
Models compared
GPT-Image 1.5 vs GPT-Image 2
Use case
image content
GPT-Image 1.5 — best for
accurate prompt adherence
GPT-Image 2 — best for
text-heavy commercial creative
GPT-Image 1.5 — avoid if
You need the lowest cost or advanced editing flexibility
GPT-Image 2 — avoid if
You need the cheapest option for high-volume drafts
Credits per image (GPT-Image 1.5)
8 credits
Last updated
June 8, 2026
What the Examples Show
Realism
GPT-Image 2 tends to produce more natural skin texture, lighting, and detail in these outputs.
Text accuracy
GPT-Image 2 renders any labels, overlays, or typography more cleanly.
Commercial usability
GPT-Image 2 is closer to a ready-to-use image asset; GPT-Image 1.5 is better for concepting.
Recommended next step
Use GPT-Image 1.5 for first-pass variants, then GPT-Image 2 for final polish.
Side-by-Side Results
Prompt
"Palm trees and pastel art-deco buildings blur behind a tiny roadside farm stand set right on a Miami promenade, with a handwritten price board, stacked mango crates, and a glimpse of a small pen of animals in the background. Tight collarbone-up framing on a mixed-race woman in her mid-20s with locs, sun-sheened skin, and big expressive anime eyes narrowed in visible frustration—jaw clenched, brows pinched, one hand gripping her phone while the other tugs her tank top strap, sweat beading at her temple and a chunky gold hoop earring catching the light. A floppy-eared rabbit naturally edges into the lower corner of the frame near the crate rim, ears drooping as it sniffs at a fallen strawberry; cel-shaded modern anime key visual, vibrant color pops, shallow depth of field, intimate social-media candid vibe."
Prompt
"Golden hour spills between NYC brownstones as a friend snaps a candid mid-stride on the sidewalk—anime cel-shaded key visual with warm lens flare blooming at the frame edges and backlight haloing everything. A mixed-race guy in his mid-20s with straight shoulder-length hair walks calmly with relaxed shoulders and an easy half-smile, one hand in his pocket and the other loosely holding an iced coffee; he wears a thrifted bomber over a plain tee, tapered chinos, clean low-top sneakers, and a canvas tote slung across his chest. Behind him: stoop railings and stone steps, a leafy street tree casting dappled shadows, a parked yellow cab and a bike locked to a signpost, a corner bodega awning in soft blur—peaceful, unhurried body language and serene eyes catching the sun."
Prompt
"Architectural exterior photograph of a minimalist concrete-and-glass pavilion perched above a reflecting pool, shot from a low wide-angle to emphasize dramatic cantilevered lines and sharp geometry. Golden-hour sunlight skims the board-formed concrete, with warm highlights on brushed aluminum window frames, crisp shadows, and subtle interior glow visible through floor-to-ceiling glazing; foreground features wet stone pavers with clean reflections. Ultra-real editorial realism, tilt-shift precision, high dynamic range, clear sky gradient, no people, no vehicles, no signage."
Prompt
"In a bright mall clothing store fitting room with a full-length mirror and warm LED strip lights, a Middle Eastern man in his mid-20s with a wavy bob smiles with an easy, dating-profile warmth while his friend snaps a candid mirror pic slightly off-center. He’s mid-change, wearing a clean cream knit polo half-tucked into dark straight-leg jeans, holding a second outfit on a wooden hanger (olive overshirt + crisp white tee) and giving a small “what do you think?” shrug, one hand in his pocket, phone and paper tag visible on the bench beside a canvas tote and sleek sneakers. The vibe is modern minimal streetwear—neutral colors, tidy racks blurred in the background, flattering angle from the doorway, natural skin texture, soft reflections, real fitting-room clutter kept tasteful."
Prompt
"Mid-stride on a busy downtown sidewalk, a Southeast Asian non-binary person in their mid‑20s with neat locs is caught by a friend’s wide‑angle phone camera, full body in frame with the street stretching behind them. They wear an oversized neutral hoodie under a light utility jacket, straight-leg black cargos, chunky worn-in sneakers, and a canvas crossbody bag; one hand swings forward holding an iced coffee while the other adjusts a single earbud, head turned slightly toward the friend with a half-smile like they just got called. Natural noon light, faint motion blur on one foot, city details like a bike rack, parking meter, crosswalk stripes, a bus stop ad glow, and a couple of pedestrians plus a delivery cyclist in the background—raw, unfiltered UGC vibe like a casual TikTok street fit clip."
Feature Comparison
| Feature | GPT-Image 1.5 | GPT-Image 2 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Subcategories | text-to-image | text-to-image, image-to-image |
| 1080p / 2k Mode | Yes | Yes |
| 4k Mode | No | Yes |
| NSFW Rating | Strict | Strict |
| Aspect Ratio | 1:1, 16:9, 9:16, 3:4, 4:3 | square_hd, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9 |
| Starting Price | 8 credits | — |
| Full Details | View GPT-Image 1.5 | View GPT-Image 2 |
GPT-Image 1.5 Strengths
- Strong prompt adherence
- High-fidelity detail
- Complex, detailed scenes
- Reliable, predictable output
GPT-Image 2 Strengths
- Near-perfect text and typography
- Mask-based inpainting and editing
- Multi-image reference and multilingual text
- Up to 4K commercial output
Verdict
GPT-Image 1.5 and GPT-Image 2 are both capable image models, but they win in different workflows. Reach for GPT-Image 1.5 when you want accurate prompt adherence — it excels at strong prompt adherence, high-fidelity detail, and complex, detailed scenes. GPT-Image 2 is the stronger pick when you need text-heavy commercial creative — it excels at near-perfect text and typography, mask-based inpainting and editing, and multi-image reference and multilingual text.
For image content, GPT-Image 2 is usually the better starting point because it scores higher on realism. Most teams explore directions with GPT-Image 1.5 first to save credits, then move to GPT-Image 2 for final, higher-resolution assets.
Frequently Asked Questions
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