ChatGPT alternatives

ChatGPT alternative with image generation.

By · tested and updated September 2026

Image generation is highly model-dependent. The same prompt can produce very different style, text quality, anatomy, realism and brand fit depending on the model.

Short verdictMethod
Best forCreate three visual directions for this landing page hero: one editorial, one product-focused, one minimalist
Check before payingLimits, data and workflow

Quick answer

Use a multi-model image workflow when style matters. Generate several directions, then pick and refine rather than trusting one output.

Do not choose an image model on sample galleries, which are curated. Choose on resolution ceiling and reference-image support, because those decide whether it can do your job at all.

Decision map

What to check before choosing.

Prompt to test

Prompt to test

Create three visual directions for this landing page hero: one editorial, one product-focused, one minimalist.

What to check

What to check

Hands, faces, text, logos, product accuracy, resolution and rights.

Best workflow

Best workflow

Use images for direction, then polish in a design tool.

Model by model

Resolution, references, grounding and watermarking.

AreaUseful forWatch out for
Concept artAI can quickly create many visual directions.Avoid using protected brand assets or people without rights.
Marketing imagesUseful for drafts, mood boards and variants.Final ads need legal, brand and quality review.
Text in imagesSome models still struggle with exact typography.Use design tools for final text-heavy graphics.
Multi-model workflowMultipleChat can help users compare several image models from one place.Prompt quality and iteration still matter.

Verified image models

What each image model actually does.

Google publishes its image model specifications in detail; most vendors do not. Read on 2026-09-10 from the Gemini image generation documentation and xAI model documentation.

ModelResolutionsReference imagesNotes
Gemini 3.1 Flash Lite Image1K onlyup to 14 reference imagesFastest and cheapest; no Google Search grounding.
Gemini 3.1 Flash Image512px, 1K, 2K, 4K10 object + 4 character-consistency imagesGeneralist workhorse; Google Search and Image Search grounding.
Gemini 3 Pro Image1K, 2K, 4K6 object + 5 character + 3 style referencesPremium tier for complex visual tasks; highest world knowledge.
Grok Imagine Image 2.0not publishednot publishedxAI's image endpoint; a video model (Imagine Video 1.5) sits alongside it.
Every image from the Gemini models above carries a SynthID watermark. That is worth knowing in both directions: it means provenance is detectable, and it means an image you generate is identifiable as generated. If either fact matters to your use case, decide before you build a workflow on it, not after.

Test it properly

Generate the same subject twice.

Ask for the same character or product in two different scenes. Consistency between generations is the thing that separates a usable image workflow from a novelty, and it is exactly what reference-image support is for.

Then check the output resolution against what you actually need. A model capped at 1K is fine for the web and useless for print, and that limit does not appear in any sample gallery.

Sources

Where these claims come from.

Every figure on this page was read from the official documentation below on 2026-09-10. Prices, limits and model names change without notice — the source is authoritative, this page is not.

FAQ

Questions about generating images.

Which AI image model should I use?

It depends on resolution and control rather than on brand. Google documents Gemini 3 Pro Image for complex work at 1K, 2K and 4K with up to 6 object, 5 character and 3 style references; Gemini 3.1 Flash Image as the generalist across 512px to 4K; and Gemini 3.1 Flash Lite Image as the fast, cheap 1K option (Gemini image docs, checked 2026-09-10).

What are reference images for?

Keeping a subject consistent between generations. Gemini 3.1 Flash Image documents 10 object references plus 4 character-consistency images; the Pro model adds style references. If you need the same character across a sequence, this capability matters far more than raw resolution.

Can AI images be detected?

The Gemini models apply a SynthID watermark to every generated image, so provenance is detectable by design in that ecosystem. Detection across all generators is a much weaker guarantee, and anyone selling you a universal AI-image detector is overstating what is possible.

Does ChatGPT still generate images?

Yes. OpenAI's pricing page documents image generation across the tiers — limited and slower on Free, more on Go, and unlimited and faster on Pro. It does not publish the same model-level resolution and reference-image detail Google does, so we are not printing figures we could not read at source.

Which model is best for 4K output?

Gemini 3 Pro Image and Gemini 3.1 Flash Image both document 4K support; the Lite model is 1K only. If you are producing print or large-format work, that single row rules the Lite model out regardless of its speed advantage.

Can I use AI-generated images commercially?

That is a licensing question, not a capability one, and it varies by provider, by plan and by jurisdiction. Read the terms for the specific account you generate under — and remember the watermark means the image's origin is not private.