Mixer AI
GPT Image 2.6 vs Z-Image: specs and price
GPT Image 2.6 — generation modes: from text / photo editing; input photos: up to 16.
When to choose GPT Image 2.6 and when Z-Image
GPT Image 2.6
- Generation modes: from text / photo editing vs from text for Z-Image
- Input photos: up to 16 vs No for Z-Image
- Prompt limit: 20,000 characters vs 1,000 characters for Z-Image
- Aspect ratios: 16 vs 5 for Z-Image
Z-Image
- The table shows no measurable edge for Z-Image: judge it by the result on your own scene.
Key differences
Specifications
| Spec | GPT Image 2.6 | Z-Image |
|---|---|---|
| Model variants | Flare / Sunburst | Z-Image |
| Generation modes | from text / photo editing | from text |
| Input photos | up to 16 | No |
| Resolutions | 1K / 2K / 4K | No separate selector |
| Aspect ratios | 9:16 / 16:9 / 1:1 / auto / 3:2 / 2:3 / 4:3 / 3:4 / 5:4 / 4:5 / 2:1 / 1:2 / 21:9 / 9:21 / 3:1 / 1:3 | 9:16 / 16:9 / 1:1 / 4:3 / 3:4 |
| Prompt limit | 20,000 characters | 1,000 characters |
| Price per image (different settings) | — coins · 1K | — coins · Auto |
There is no shared resolution for a direct price comparison, so each price includes its setting and is not highlighted as cheaper.
What to compare visually
For a fair A/B test, use the same prompt, aspect ratio and references. Inspect more than overall style: object preservation, geometry, faces and hands, fine detail, text in the frame and unintended changes during editing.
What to inspect with GPT Image 2.6
Flare for fast series, Sunburst for careful edits: 16 aspect ratios, up to 16 photos and 4K.
- Flare and Sunburst: from text, or editing when 1 to 16 photos are added.
- 1K, 2K or 4K quality; 1, 2 or 4 results per run.
- A transparent background works at 1K only: the switch is hidden at 2K and 4K.
- Check faces, lettering and brand elements at full size: a variant name does not guarantee exact preservation.
What to inspect with Z-Image
A new image from a short description, for concepts, illustrations and first visual experiments.
- New image generation from text only.
- Five aspect ratios and prompts up to 1000 characters.
- This model page does not edit uploaded photos.
- Text alone may not reproduce a particular face, package or brand mark accurately.
How to run a fair comparison
- Give both models one prompt, one aspect ratio and, for editing tests, the same source photo.
- Look at the small things: hands, small text, product edges and logos fail differently in every model.
- Generate at least three variants per model: one picture shows one seed, not the usual quality.
- Compare cost at the resolution you will actually publish, not at each model's cheapest setting.
Sources
Prices, availability and specifications come from the Mixer AI catalog. This is not an independent test: try both models on the same task before choosing.
What we compare
FAQ
Which is cheaper: GPT Image 2.6 or Z-Image?
The models use different settings, so a direct price comparison would be misleading: the prices of GPT Image 2.6 and Z-Image are in the table, so compare for the mode you need.
How does GPT Image 2.6 differ from Z-Image?
GPT Image 2.6 — generation modes: from text / photo editing; input photos: up to 16.
How should I compare GPT Image 2.6 and Z-Image fairly?
Give both models the same prompt, aspect ratio and source photo, generate three variants each and compare details: hands, text, object edges. Compare price at the resolution you will publish.
Are both models available in Mixer AI?
Yes. Both models are in the Mixer AI image catalog; the launch button on the page opens Canvas on a computer and the Studio on a phone. The page exists only for models in the current catalog.
Which model is better?
There is no single winner. First rule out the model that does not accept the inputs you need (references, editing) or the resolution you need, then compare results on your own task. The table highlights only measurable differences.