AI image model comparison
Ming Image 0.1 Design Layer vs GPT Image 2
Image quality, cost per image, and editing features compared side by side. Or skip the guesswork and generate with both.
inclusionAI
Ming Image 0.1 Design Layer
Ming Image 0.1 Design Layer is an image-to-image model from inclusionAI that decomposes a flattened design image into separate RGBA layers, such as a background layer and foreground elements, and
- Per image
- Not available
- Output / 1M
- Not available
- Image Elo
- Not available
OpenAI
GPT Image 2
OpenAI's latest image generation model.
- Per image
- Not available
- Output / 1M
- $30
- Image Elo
- Not available
At a glance
Quick verdict
Which model wins on the things that matter most when you're making images.
Cheaper per image
Not available
Per-image price is not available
Better image quality
Not available
Not enough arena data
Better at editing
Not available
Not enough arena data
Newer release
Ming Image 0.1 Design Layer
Released September 23, 2026
Pricing
Ming Image 0.1 Design Layer vs GPT Image 2 price per image
What each image actually costs, plus the underlying API rates. Cheaper option highlighted.
| Metric | GPT Image 2 | |
|---|---|---|
| Cost per imageEstimated, ~1 megapixel (1024×1024) | Not available | Not available |
| Image outputPer 1M image tokens | Not available | $30 |
| Tokens per imageHow many image tokens one ~1MP image uses | Not available | Not available |
| Prompt textPer 1M input tokens | Included | $8 |
What it costs in practice
Estimated totals at standard resolution.
Single image
1 image
GPT Image 2Not availableSocial media batch
50 images
GPT Image 2Not availableProduct catalog
1,000 images
GPT Image 2Not availableSpecs
Inputs, outputs, and limits
What each model accepts, what it gives back, and how long your prompt can be.
| Metric | GPT Image 2 | |
|---|---|---|
| Accepts | Image, Text | Image, Text |
| Produces | Image | Image |
| Max prompt lengthText plus reference images | Not available tokens | 400K tokens |
| Reasoning step | No | No |
| Release date | September 23, 2026 | June 24, 2026 |
Features
Supported features
Creative controls available for each model.
| Metric | GPT Image 2 | |
|---|---|---|
| Image editingAccepts reference or source images | Supported | Supported |
| Text alongside imagesCan explain or caption what it made | Not supported | Not supported |
| Thinks before drawingPlans the image with a reasoning step | Not supported | Not supported |
| Reproducible seedsSame seed, same image | Supported | Supported |
| Temperature controlTrade consistency for variety | Supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Ming Image 0.1 Design Layer vs Nano Banana 2
- Ming Image 0.1 Design Layer vs GPT Image 2.5 Sunburst
- Ming Image 0.1 Design Layer vs Nano Banana 2 Lite
- Ming Image 0.1 Design Layer vs Seedream 4.5
- Ming Image 0.1 Design Layer vs Nano Banana
- Ming Image 0.1 Design Layer vs GPT-5.4 Image 2
- Ming Image 0.1 Design Layer vs Seedream 5.0 Flash
- Ming Image 0.1 Design Layer vs Muse Image
- Ming Image 0.1 Design Layer vs Ming Image 0.1 Design
- Ming Image 0.1 Design Layer vs Hy Image 3.5 Preview
GPT Image 2View full model details- GPT Image 2 vs Nano Banana 2
- GPT Image 2 vs GPT Image 2.5 Sunburst
- GPT Image 2 vs Nano Banana 2 Lite
- GPT Image 2 vs GPT-5.4 Image 2
- GPT Image 2 vs GPT Image 2.5 Flare
- GPT Image 2 vs Ming Image 0.1 Design
- GPT Image 2 vs Nano Banana 2.1
- GPT Image 2 vs Hy Image 3.5 Preview
- GPT Image 2 vs FLUX.2 Pro
- GPT Image 2 vs GPT-5 Image Mini
- GPT Image 2 vs GPT-5 Image
- GPT Image 2 vs MAI-Image-2.6 Flash
- GPT Image 2 vs MAI-Image-2.6
- GPT Image 2 vs GPT Image 1
- GPT Image 2 vs MAI-Image-2.5
FAQ
Frequently asked questions
Can Ming Image 0.1 Design Layer and GPT Image 2 edit existing images?
Yes. Both accept reference images, so you can upload a photo and ask for changes like a new background, different lighting, or added text.
Can I use Ming Image 0.1 Design Layer and GPT Image 2 at the same time?
Yes. Shortcut Chat sends one prompt to multiple image models at once, so you can see Ming Image 0.1 Design Layer and GPT Image 2 results side by side and keep the one you like.
Why choose? Generate with both.
Send one prompt to Ming Image 0.1 Design Layer and GPT Image 2 at the same time. See both images side by side and keep the one you like.