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GPT Image 2.6 Economy vs Grok Imagine: specs and price

GPT Image 2.6 Economy — input photos: up to 16.

When to choose GPT Image 2.6 Economy and when Grok Imagine

GPT Image 2.6 Economy

  • Input photos: up to 16 vs up to 1 for Grok Imagine
  • Transparent background: Yes vs No for Grok Imagine
  • Prompt limit: 20,000 characters vs 5,000 characters for Grok Imagine
  • Aspect ratios: 8 vs 5 for Grok Imagine

Grok Imagine

  • The table shows no measurable edge for Grok Imagine: judge it by the result on your own scene.

Key differences

GPT Image 2.6 Economy: The budget GPT Image 2.6: 1K PNG, a transparent background and editing with up to 16 photos.
Grok Imagine: Create images from a description and choose the version around whether you need to edit an uploaded photo.

Specifications

SpecGPT Image 2.6 EconomyGrok Imagine
Model variantsGPT Image 2.6 EconomyGrok Imagine 1.0 / Grok Imagine 2.0
Generation modesfrom text / photo editingfrom text / photo editing
Input photosup to 16up to 1
Transparent backgroundYesNo
Resolutions1Kspeed / pro
Aspect ratios9:16 / 16:9 / 1:1 / auto / 3:2 / 2:3 / 21:9 / 4:39:16 / 16:9 / 1:1 / 2:3 / 3:2
Prompt limit20,000 characters5,000 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 Economy

The budget GPT Image 2.6: 1K PNG, a transparent background and editing with up to 16 photos.

  • From text or from photos: 1 to 16 JPEG, PNG or WebP images, up to 30 MB each.
  • 8 aspect ratios: Auto, 1:1, 16:9, 9:16, 3:2, 2:3, 21:9 and 4:3.
  • 1K and PNG only: GIF and higher quality are not available.
  • Check object edges and small lettering on a transparent background when zoomed in.

What to inspect with Grok Imagine

Create images from a description and choose the version around whether you need to edit an uploaded photo.

  • 1.0: text with Speed or Pro priority, or editing one photo.
  • 2.0: new images from text; Segment Edit starts from an eligible generated result. Five aspect ratios are available for generation.
  • Segment Edit is not ordinary uploading of an arbitrary photograph into version 2.0.
  • Inspect lettering, logos and small objects separately.

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 Economy or Grok Imagine?

The models use different settings, so a direct price comparison would be misleading: the prices of GPT Image 2.6 Economy and Grok Imagine are in the table, so compare for the mode you need.

How does GPT Image 2.6 Economy differ from Grok Imagine?

GPT Image 2.6 Economy — input photos: up to 16.

How should I compare GPT Image 2.6 Economy and Grok Imagine 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.

See also