Mixer AI
MiniMax H3 Image vs GPT Image 2.5: specs and price
GPT Image 2.5 — input photos: up to 16.
When to choose MiniMax H3 Image and when GPT Image 2.5
MiniMax H3 Image
- The table shows no measurable edge for MiniMax H3 Image: judge it by the result on your own scene.
GPT Image 2.5
- Input photos: up to 16 vs No for MiniMax H3 Image
- Prompt limit: 20,000 characters vs 5,000 characters for MiniMax H3 Image
- Aspect ratios: 13 vs 10 for MiniMax H3 Image
Key differences
Specifications
| Spec | MiniMax H3 Image | GPT Image 2.5 |
|---|---|---|
| Model variants | MiniMax H3 Image | Flare / Sunburst |
| Generation modes | from text / photo editing | from text / photo editing |
| Input photos | No | up to 16 |
| Resolutions | 1K / 2K / 4K | 1K / 2K / 4K |
| Aspect ratios | 9:16 / 16:9 / 1:1 / 5:4 / 4:5 / 4:3 / 3:4 / 3:2 / 2:3 / 21:9 | 9:16 / 16:9 / 1:1 / auto / 3:2 / 2:3 / 4:3 / 3:4 / 21:9 / 27:16 / 16:27 / 9:8 / 8:9 |
| Prompt limit | 5,000 characters | 20,000 characters |
| Price, 1 image · 1K | — coins | — coins |
Price at the same settings
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 MiniMax H3 Image
Creates an image from text or edits up to 16 source images in 1K, 2K or 4K quality.
- Text-only input creates a new image; adding 1–16 source images selects image editing automatically.
- Choose 1K, 2K or 4K, ten aspect ratios, PNG output and 1, 2 or 4 results.
- Every reference image carries an additional charge, including the first; check the full quote before submitting.
- Review fine lettering, packaging, faces and tiny details against the source images.
What to inspect with GPT Image 2.5
Flare for exploring ideas, Sunburst for demanding edits, with a shared image creation workflow.
- Flare and Sunburst; up to 16 input photos; 1, 2 or 4 results.
- 1K, 2K and 4K, with 13 aspect-ratio options including Auto. These are its own controls, not GPT Image 2's restrictions.
- A variant name does not guarantee edit accuracy. Check faces and lettering.
- Do not assume every option in another platform is available here; use the Mixer AI controls.
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: MiniMax H3 Image or GPT Image 2.5?
Price, 1 image · 1K: the prices of MiniMax H3 Image and GPT Image 2.5 are in the comparison table and always match the current tariff. The total depends on your settings: the price of the chosen options is shown in the interface before you run.
How does MiniMax H3 Image differ from GPT Image 2.5?
GPT Image 2.5 — input photos: up to 16.
How should I compare MiniMax H3 Image and GPT Image 2.5 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.