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Mixer AI › Knowledge Base › Comparison › Grok Imagine vs Z-Image: technical and visual comparison

Grok Imagine vs Z-Image: technical and visual comparison

This compares two models that are available in the current Mixer AI catalog. The table below is built from current product controls, while the visual section shows what to inspect with the same inputs and prompt instead of inventing one universal winner.

Key differences

Grok Imagine: Create images from a description and choose the version around whether you need to edit an uploaded photo.
Z-Image: A new image from a short description, for concepts, illustrations and first visual experiments.
Start with the specification table: it reflects current modes, input media, duration, resolution, aspect ratios and a normalized price where a fair comparison is possible.

Specifications

SpecGrok ImagineZ-Image
Model variantsGrok Imagine 1.0 / Grok Imagine 2.0Z-Image
Generation modesfrom text / photo editingfrom text
Input photosup to 1No
Resolutionsspeed / proNo separate selector
Aspect ratios9:16 / 16:9 / 1:1 / 2:3 / 3:29:16 / 16:9 / 1:1 / 4:3 / 3:4
Prompt limit5,000 characters1,000 characters
Price per image (different settings)5 coins · Auto1 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 Grok Imagine

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

What to inspect with Z-Image

A new image from a short description, for concepts, illustrations and first visual experiments.

How to run a fair comparison

What we compare

FAQ

How should I compare Grok Imagine and Z-Image fairly?

Use a workflow both models share, keep inputs and prompt identical, then run several generations. Compare prompt adherence, visual consistency and the price of the setting you need as separate dimensions.

Are both models available in Mixer AI?

Yes. This page is generated only for models in the current public Mixer AI catalog; if a model leaves the catalog, the automated comparison must stop passing validation.

Which model is better?

There is no universal answer. First eliminate a model that cannot accept the input, duration, resolution or format you need, then compare outputs on your own scene. The table highlights only measurable advantages in individual specifications.

See also