GPT-Image 1.5 vs Seedream 4.5
Restaurant, cooking, and food styling content — see how these models compare with real AI-generated outputs.
Full comparisonCompare Models (select 4)
Food photography lives or dies on realism: accurate textures (steam, crisp edges, glossy sauces), believable lighting, and plating that looks intentional—not accidental. On Influencer Studio, GPT-Image 1.5 and Seedream 4.5 both generate high-quality food imagery, but they shine in different parts of a restaurant and cooking workflow.
This comparison focuses on common needs for menus, social content, recipe steps, and brand campaigns: prompt accuracy for specific dishes, consistency across a series, and the ability to revise plating, props, or backgrounds without restarting from scratch.
Which Model Should You Choose?
Short answer: GPT-Image 1.5 is better for accurate prompt adherence, while Seedream 4.5 is better for versatile editing. For food photography, Seedream 4.5 is the stronger first pick — run the same prompt through both and keep the winner.
| If you need… | Choose | Why |
|---|---|---|
| Lower-cost exploration and more variants per credit | GPT-Image 1.5 | GPT-Image 1.5 costs 8 credits to start, so you can test more directions for less. |
| Polished, ready-to-ship final assets | Either model | Either model produces stronger final-asset polish for campaign-ready output. |
| Readable text in designs, overlays, and packaging | GPT-Image 1.5 | GPT-Image 1.5 renders labels and typography more cleanly. |
| Editing and reference-driven iteration | Seedream 4.5 | Seedream 4.5 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. |
| Food Photography specifically | Seedream 4.5 | Seedream 4.5 scores higher on realism, which matters most for food photography. |
How They Compare, Criterion by Criterion
| Criteria | GPT-Image 1.5 | Seedream 4.5 | Winner |
|---|---|---|---|
| Realism | ●●●●○ | ●●●●○ | Tie |
| Text accuracy | ●●●●○ | ●●●○○ | GPT-Image 1.5 |
| Editing flexibility | ●●●○○ | ●●●●○ | Seedream 4.5 |
| Cost efficiency | ●●●○○ | ●●●●○ | Seedream 4.5 |
| Final polish | ●●●●○ | ●●●●○ | Tie |
| Consistency | ●●●●○ | ●●●●○ | Tie |
| Best first test | ●●●○○ | ●●●●○ | GPT-Image 1.5 |
How We Compare These Models
Models compared
GPT-Image 1.5 vs Seedream 4.5
Use case
Food Photography
GPT-Image 1.5 — best for
accurate prompt adherence
Seedream 4.5 — best for
versatile editing
GPT-Image 1.5 — avoid if
You need the lowest cost or advanced editing flexibility
Seedream 4.5 — avoid if
You need premium hero-level polish or perfect text
Credits per image (GPT-Image 1.5)
8 credits
Credits per image (Seedream 4.5)
16 credits
Last updated
June 8, 2026
What the Examples Show
Realism
Both models produce comparably natural results in these examples.
Text accuracy
GPT-Image 1.5 renders any labels, overlays, or typography more cleanly.
Commercial usability
Either output is close to a usable asset with light cleanup.
Recommended next step
Keep the output that best matches your brief and generate variants from it.
Food Photography — Side-by-Side Results
Prompt
"Casual influencer food shot: a woman in her mid-20s with wavy brown hair in a messy bun, wearing an oversized gray hoodie and simple gold hoops, leaning over a small café table and glancing near the phone camera as she reaches in with a fork. Dramatic 45-degree food photography angle focusing on a beautifully plated avocado toast with poached egg, chili flakes, microgreens, and a side salad on a ceramic plate, with a linen napkin, matte black cutlery, and an iced latte as props; cozy café background slightly blurred. Natural window light, subtle shadows, real smartphone-camera feel like an Instagram story thumbnail."
Feature Comparison
| Feature | GPT-Image 1.5 | Seedream 4.5 |
|---|---|---|
| Provider | OpenAI | ByteDance |
| 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 | 16 credits |
GPT-Image 1.5 Strengths
- Strong prompt adherence for precise dishes, ingredients, camera angles, and plating notes (e.g., “overhead flat lay, matte ceramic, microgreens, shallow DOF”).
- High-fidelity textures and micro-details that matter in food shots (crumb structure, sear marks, condensation on glassware, sauce sheen).
- Detailed multi-element scenes for restaurant storytelling (table settings, hands plating, kitchen pass, ambient bokeh) with clear composition control.
- Flexible credit tiers (8/16/32 credits) that can fit quick concepting vs premium hero images depending on quality needs.
Seedream 4.5 Strengths
- Image-to-image editing for iterative food styling—adjust garnishes, swap plates, change backgrounds, or refine lighting while keeping the core shot.
- High-resolution outputs suited to menu boards, print-ready promos, and tight crops on hero dishes without losing clarity.
- Versatile styles for brand-matching (rustic farmhouse, modern minimal, high-contrast flash, pastel café aesthetic) across a campaign.
- Predictable per-image pricing (16 credits) that’s easy to budget for repeated revisions and variations.
Verdict
Choose GPT-Image 1.5 when you need the model to follow a tightly written food brief from scratch—specific ingredients, plating geometry, and scene complexity—especially for concept-to-final generation and multi-subject restaurant scenes.
Choose Seedream 4.5 when your workflow depends on refining an existing image: making quick food-styling adjustments, keeping composition consistent across variations, and delivering high-resolution assets for menus and brand campaigns. For many creators, a practical approach is generating the initial hero concept with GPT-Image 1.5, then using Seedream 4.5 to iterate on plating and props efficiently.
Frequently Asked Questions
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