GPT-Image 1.5 vs Z-Image Turbo
Interior design, staging, and property listings — see how these models compare with real AI-generated outputs.
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For real estate and interiors, image models need to do more than “look nice.” They must render believable materials, accurate room proportions, consistent lighting, and listing-ready compositions that feel true to the space—whether you’re visualizing a renovation, virtually staging an empty room, or creating hero images for a property page.
GPT-Image 1.5 and Z-Image Turbo both generate interior and property visuals from text prompts, but they’re optimized for different workflows. GPT-Image 1.5 prioritizes high fidelity and detailed scenes with strong prompt adherence, while Z-Image Turbo emphasizes ultra-fast iteration, cost predictability, and flexible styling via LoRA support (with added image-to-image options for faster variations).
Real Estate & Interiors — Side-by-Side Results
Prompt
"A candid phone-camera wide‑angle shot of a 20s woman with shoulder-length wavy brown hair in an oversized cream sweater and leggings, standing near the edge of the frame and glancing toward the camera with a relaxed half-smile while gesturing at a beautifully staged modern living room (neutral sectional, textured rug, round coffee table with a small plant, minimal art, tidy shelves). Real estate interior vibe like a Zillow/Airbnb hero image: bright natural window light pouring in from large floor-to-ceiling windows, clean luxury decor, airy open-plan space, realistic colors and slight handheld imperfection as if filmed for an Instagram story “apartment tour.”"
Feature Comparison
| Feature | GPT-Image 1.5 | Z-Image Turbo |
|---|---|---|
| Provider | OpenAI | Tongyi Lab (Alibaba) |
| Subcategories | text-to-image | text-to-image, image-to-image |
| 1080p / 2k Mode | Yes | Yes |
| 4k Mode | No | No |
| NSFW Rating | Strict | Low |
| Aspect Ratio | 1:1, 16:9, 9:16, 3:4, 4:3 | 1:1, 16:9, 9:16, 3:4, 4:3 |
| Starting Price | 8 credits | 8 credits |
GPT-Image 1.5 Strengths
- High-fidelity interiors with crisp details (materials, fixtures, décor) suited to premium listing imagery
- Strong prompt adherence for precise room specs (style, finishes, camera angle, time of day, lighting)
- Handles complex, layered scenes well (open-plan layouts, multiple focal points, detailed staging)
- Better suited for hero renders and marketing assets where realism and polish are the priority
Z-Image Turbo Strengths
- Ultra-fast generation for rapid staging concepts and many listing variations in a short time
- Cost-effective and predictable pricing (8 credits per image) for high-volume property workflows
- Image-to-image support for quick iterations on an existing room concept (layout, palette, décor swaps)
- LoRA support to match a specific interior style or brand look across multiple listings
- Great for early ideation, A/B testing décor directions, and producing multiple options for client review
Verdict
If you need listing-ready interior visuals with strong realism, accurate styling, and detailed scene control, GPT-Image 1.5 is typically the better pick—especially for hero shots, luxury properties, and marketing materials where small details (fabric texture, wood grain, lighting falloff) matter.
If your priority is speed, volume, and consistent styling at a fixed per-image cost, Z-Image Turbo is a strong choice for rapid virtual staging iterations, mood-board exploration, and producing many variations for agents or clients to choose from. Many real estate teams use Z-Image Turbo for fast exploration, then switch to GPT-Image 1.5 for final, high-polish selects.
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