GPT Image vs FLUX.2
Compare natural materials, hard light and precise framing of an editorial photo. Both models use the same prompt and aspect ratio, with their own default output sizes.
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What to compare in these images
- 1Material texture
- 2Shadow direction
- 3Requested framing
GPT Image and FLUX.2: settings & credits
Capabilities and output settings available in this workspace.
| Setting | GPT Image ↗ | FLUX.2 ↗ |
|---|---|---|
| Developer | OpenAI | Black Forest Labs |
| Default output size | 1K | 1K |
| Maximum output | 4K | 4K |
| Credits per default image | 5 | 3 |
| Image generation modes | Text to Image, Image to Image, Edit Image, Multi-reference | Text to Image, Image to Image, Edit Image |
| Reference images in model editor | Up to 4 | Up to 4 |
| Negative prompt in model editor | Not supported | Not supported |
GPT Image vs FLUX.2 FAQ
Do both models receive the same prompt?+
Yes. Both receive the text in the shared prompt box and the selected aspect ratio. Each model uses its default output size and settings, listed in the table on this page.
How many credits does one comparison use?+
The default images start at 5 credits for GPT Image and 3 credits for FLUX.2. The generation button shows the combined estimate before you submit.
Can I view the images at full size?+
Yes. Select a generated image to open its full-size file. The time and credits shown beneath each result belong to that run.
Does one comparison establish which model is best?+
No. Outputs can vary between runs, and different tasks need different checks. Repeat a relevant brief, inspect details at full size and consider the output settings and cost before choosing a model.
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