Model comparison · Black Forest Labs vs OpenAI

FLUX.2 vs GPT Image: which image model should you use?

FLUX.2 Pro and GPT Image are frequently compared for photoreal images and edits. Here are their live settings side by side.

FLUX.2 at a glance

FLUX is the image model family from Black Forest Labs. MotionLab runs FLUX.2 Pro, when enabled, for text-to-image and reference-image editing, next to the other image models on the site.

VariantModesResolutionAspect ratiosReference images
FLUX 2 ProText to image · Image editing—1:1 · 16:9 · 9:16 · 4:3 · 3:4 · 3:2 · 2:3 · 21:9 · 9:21 · 5:4 · 4:5 · 2.35:1 · autoUp to 8

Full FLUX.2 page

GPT Image at a glance

GPT Image is OpenAI's image generation model family. MotionLab runs the GPT Image versions enabled below for text-to-image and reference-image editing, and any result can go straight into image-to-video.

VariantModesResolutionAspect ratiosReference images
GPT Image 2.5 SunburstText to image · Image editing1k · 2k · 4kauto · 1:1 · 3:2 · 2:3 · 4:3 · 3:4 · 16:9 · 9:16 · 21:9 · 27:16 · 16:27 · 9:8 · 8:9Up to 16
GPT Image 2.5 FlareText to image · Image editing1k · 2k · 4kauto · 1:1 · 3:2 · 2:3 · 4:3 · 3:4 · 16:9 · 9:16 · 21:9 · 27:16 · 16:27 · 9:8 · 8:9Up to 16
GPT Image 2Text to image · Image editing—1:1 · 16:9 · 9:16 · 4:3 · 3:4 · 3:2 · 2:3 · 21:9 · 9:21 · 5:4 · 4:5 · 2.35:1 · autoUp to 4

Full GPT Image page

When to choose FLUX.2

  • Photographic images with controlled lighting and composition.
  • Reference-guided edits for product and character consistency.
  • Concept art and style frames for video projects.
  • Comparing one prompt across several image models in the same library.

When to choose GPT Image

  • Images that need legible text, labels or layout.
  • Editing an existing image with instructions while keeping the rest intact.
  • Product shots and mockups to animate later with a video model.
  • Storyboard frames and style frames for a video project.

How to run a fair comparison

  1. Use the same prompt and the same aspect ratio on both models.
  2. Match output size where both models support it; the tables above show the overlap.
  3. Generate two or three takes per model. One take of each says more about luck than about the model.
  4. Judge at full size on the screen it is made for: detail, prompt adherence, text rendering and artefacts.
  5. Compare cost per usable take, not cost per generation.

Related comparisons

FLUX.2 vs GPT Image questions

Is FLUX.2 or GPT Image better?

It depends on the shot. Compare the modes and settings in the table above, then run the same prompt through both on MotionLab and judge the results side by side. Both use the same credit balance.

Can I use FLUX.2 and GPT Image with one account?

Yes. Both are available from the same MotionLab model picker while they are enabled, and every result lands in one library.

Which is cheaper, FLUX.2 or GPT Image?

The credit cost depends on the variant and settings you choose and is shown before you generate. See the pricing page for credit packs.

FLUX.2 vs GPT Image: Specs, Prices & Which to Use | MotionLab