GPT Image 2.6 Economy — generation modes: from text / photo editing; input photos: up to 16.
| Spec | GPT Image 2.6 Economy | Midjourney |
|---|---|---|
| Model variants | GPT Image 2.6 Economy | V8.2 / V8.1 / V7 |
| Generation modes | from text / photo editing | from text |
| Input photos | up to 16 | No |
| Transparent background | Yes | No |
| Resolutions | 1K | fast / fast_hd |
| Aspect ratios | 9:16 / 16:9 / 1:1 / auto / 3:2 / 2:3 / 21:9 / 4:3 | 9:16 / 16:9 / 1:1 / 4:3 / 3:4 / 3:2 / 2:3 / 2:1 / 1:2 |
| Prompt limit | 20,000 characters | 1,024 characters |
| Price per image (different settings) | — coins · 1K | — coins · draft |
There is no shared resolution for a direct price comparison, so each price includes its setting and is not highlighted as cheaper.
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.
The budget GPT Image 2.6: 1K PNG, a transparent background and editing with up to 16 photos.
Explore a visual direction through lighting, material, composition and mood.
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.
The models use different settings, so a direct price comparison would be misleading: the prices of GPT Image 2.6 Economy and Midjourney are in the table, so compare for the mode you need.
GPT Image 2.6 Economy — generation modes: from text / photo editing; input photos: up to 16.
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.
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.
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.