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ChatGPT Images vs Nano Banana (Gemini image)
A plain-English comparison to help you choose between them.
The same idea in rival ecosystems: image capability ambient inside the assistant. ChatGPT Images lives in ChatGPT on every tier, generating and editing conversationally with a selection editor for region work. Nano Banana is Google's counterpart, distinguished by how well it listens, instruction-following edits that do what you asked, legible text, and character consistency that holds a subject steady across a series. Pick ChatGPT Images when your working day already runs through ChatGPT and the image should arrive where the conversation is; pick Nano Banana when you live in Google's surfaces, or when edit obedience and a consistent character across images matter most.
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Side by side
- Summary
ChatGPT Images is OpenAI's image generation and editing, living inside ChatGPT rather than as a standalone app: describe an image in a conversation, or upload one and describe the change, and the result comes back in the same thread. OpenAI deprecated the DALL·E models and removed them from its API on 12 May 2026, and ChatGPT Images is the successor a buyer actually uses today.
The current generation is available on every ChatGPT tier, with an editor for selecting and revising regions, aspect-ratio control, and a library that keeps everything you have made. Edits follow instructions conversationally, each request refining the last, and generation continues in the background while you keep chatting.
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For developers the same capability ships as the GPT Image model family in the API, priced by usage. It is an ecosystem capability rather than a design platform: quick, conversational and everywhere ChatGPT is, with production design workflow deliberately left to the design tools.
- Best for
- Creating and editing images inside a ChatGPT conversation
- Instruction-following edits that refine turn by turn
- Region-level edits with the built-in selection editor
- Image generation included on every ChatGPT tier
- Builders reaching the same capability through the GPT Image API family
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Images are generated inside ChatGPT, so prompts and outputs follow the data controls of the ChatGPT plan in use.
- Summary
Nano Banana is Google's image model, distinguished by how well it listens: instruction-following edits that actually do what you asked, legible text inside images, and conversational editing where each request refines the last. Character consistency holds a subject steady across a series.
It lives inside the Gemini ecosystem rather than as a standalone app, which makes it the ambient image capability for anyone already there, and successive versions have pushed it to the front of the editing conversation.
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Outputs carry a provenance watermark, and the usual review applies before anything ships commercially.
- Best for
- Edits that follow instructions faithfully
- Legible, correct text inside images
- Conversational refinement turn by turn
- Character consistency across a series
- Image capability inside the Gemini ecosystem
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Images process under Google's terms for the surface you use; consumer versus Workspace terms differ, check which applies.
Pricing
- ChatGPT Images
- On every ChatGPT tier
- Nano Banana (Gemini image)
- Inside the Gemini plans
By area
Where each one pulls ahead, area by area.
| Area | ChatGPT Images | Nano Banana (Gemini image) |
|---|---|---|
| By job | ||
| Design & creative | ChatGPT Images is the same ambient-assistant idea for people who already live in ChatGPT | Nano Banana fixes and adjusts client images conversationally, which is a working step in a design job rather than a novelty |
| By task | ||
| Image editing | ChatGPT Images is for the edit that can be described in a sentence when perfection is not the bar, with a selection tool for region-level work and regeneration at a new aspect ratio | Nano Banana adapts one asset across contexts by describing each variation, so a single approved image becomes a set without any of them drifting |
| Image generation | ChatGPT Images generates in conversation on every ChatGPT tier, which is why it is where most people already are, though a defined visual style across a campaign wants the dedicated generators | Nano Banana refines an output conversationally until it matches the brief rather than accepting the first plausible result |
Common questions
If both are assistants' image features, what actually differs?
Editing behaviour, mostly. Nano Banana's reputation is obedience: instruction-following edits that change what you asked and leave the rest alone, plus character consistency across a series. ChatGPT Images counters with its conversational refinement loop and selection editor. On raw everyday generation the two are closer than either fanbase admits.
Does ecosystem really decide this one?
More than any feature does. Each capability arrives inside an assistant you already use, priced with that assistant's tiers rather than as its own product. Switching ecosystems to get a marginally better image feature almost never pays; the honest advice is to use whichever assistant already holds your work.
What about the old DALL-E name people still search for?
DALL-E is gone as a product: OpenAI deprecated the models and removed them from its API on 12 May 2026. ChatGPT Images is the successor inside the assistant, with the GPT Image family serving developers. Anyone comparing DALL-E to Google's image tools is really comparing these two.
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Tool facts last checked July 2026