Which AI Is Best for Interior Design? Five Models Compared

The honest answer to which AI is best for interior design is that the question hides two different jobs, and the model that wins one loses the other. To restyle a photo of the room you actually live in, you need an image editing model, and the Gemini family sold under the Nano Banana name is the strongest general pick. To invent a room that does not exist yet, Midjourney still has the better eye. To get a plan, a budget or a shopping list, you need a text model, and Claude cannot draw at all.

Quick answer: edit your real room with a Gemini image model, invent a fictional one with Midjourney, write the brief and the budget with Claude or ChatGPT, and reach for GPT Image 2 only when the picture has to contain readable text. Real per image prices, the four Nano Banana model IDs and the case for not picking a single model at all are below.

Generate or edit: the distinction that decides everything

Before any model comparison is worth reading, work out which of these two sentences describes you.

• “Show me what a room like this could look like.” This is generation. The model invents a room from a description. Midjourney is the strongest, and the result belongs to nobody.
• “Show me my room with different furniture.” This is editing, sometimes called image to image. The model receives your photograph and changes only what you ask. This is the job most people actually have, and it is a different capability.

The test for whether a tool did the second job properly is boring and reliable: look at the window. If the window moved, changed shape, or gained a glazing bar it never had, you were not given your room back. You were given a different room that resembles yours. The same goes for radiators, door positions and the angle of a sloped ceiling. Our guide to prompts that actually produce usable renders goes further into how to phrase an edit so the model keeps the architecture.

The same brief run twice. The bed, the stools and the round side table survive, but the window and the skyline behind it are not the same window. Run to run variation like this is normal, and it is exactly what you cannot afford when the room is real and the window is load bearing.

What each model actually does

This is a capability table, not a beauty contest. For a real room, the third column is the one that matters.

What a render actually costs

This is the part almost nobody publishes, and it is the most useful number here. These are the official API prices per generated image, read from Google’s Gemini API pricing page and OpenAI’s API pricing page on 27 August 2026.

The two pricing pages this article is built on, captured 27 August 2026. On the left, note Google’s Free card and the image models listed down the right hand rail. The free tier is real, but its first bullet reads “Limited access to certain models”, and image generation is not among them. Check both yourself before budgeting, because these pages change.

Three things fall out of that table. First, OpenAI is roughly four to five times the price of Nano Banana 2 for a comparable render, which is why so many interior tools quietly run on Google models underneath. Second, Google’s page invites you to “Start building free of charge with generous limits, then scale up with prepaid then pay-as-you-go pricing”, but that free tier lists “Limited access to certain models”, and image generation is priced on the paid tier only. So when a consumer app hands you unlimited free renders, somebody is paying the 0.067 dollars, and that is why free limits keep moving. We went through what the free tiers actually give you in our test of eight free AI interior design tools, and there is a wider breakdown in how AI interior design works and what it costs. Third, batch pricing halves nearly everything, which matters if you are rendering a whole property rather than one room.

Gemini and the Nano Banana family

Verdict: the default choice for a real room. The Gemini image models edit an existing photograph more faithfully than anything else at this price, and faithfulness is the whole game once the room is yours.

Gemini’s consumer app on 27 August 2026. The model selector in the corner of the prompt box is the thing to watch: the free app defaults to a lighter model than the one the API prices above refer to.

The naming is genuinely confusing, so here it is straight. Nano Banana is Google’s marketing name for its image models, and there are four: Lite is the cheap one, the original 2.5 model is the old one, Nano Banana 2 is the current workhorse, and Nano Banana Pro holds fine detail and text best while costing about twice as much. For interiors, Nano Banana 2 at 1K or 2K is the sweet spot, and Pro earns its price on the materials that betray a weaker model: veined stone, brushed metal, sheer fabric and anything with a repeating pattern.

Every Google image also carries SynthID, an invisible watermark marking it as AI generated. It will not show up in your render, but it is there. We keep a running set of Nano Banana prompts for interior design and Gemini prompts for interior design, plus a walkthrough of redesigning a room with Nano Banana Pro.

Backlit travertine, herringbone parquet and a rattan door front in one frame. This is the detail level where the gap between the cheap and the expensive models stops being theoretical: Lite tends to smear the stone veining and flatten the cane weave.

ChatGPT and GPT Image 2

Verdict: brilliant at the brief, expensive at the picture. ChatGPT is the best of these at absorbing a long, badly organised description of what you want and turning it into something structured. If you cannot articulate your taste, it will interview you until you can, and that is a real service.

OpenAI’s own ChatGPT page, captured 27 August 2026. Note how the pitch is chat, work and code. Image generation is a feature here, not the product, and that shows in the interior results.

Its image side, GPT Image 2, has one standout property: it renders readable text better than any competitor. That matters far less in interiors than people assume, because rooms rarely need words in them, though it is genuinely useful for a labelled floor plan, signage in a retail fit out, or a mood board with legible annotations. Outside that, you are paying 0.30 dollars for something a 0.067 dollar model does comparably well. Our 70 ChatGPT prompts for interior design is the most read thing we have written, which tells you how many people start here.

Claude, which cannot draw

Verdict: the best project manager in the group, and zero renders. Let us be blunt, because the search results on this are muddy: Claude does not generate images. No version of it does. If you have searched for the best Claude model for interior design expecting renders, there are none, and any article implying otherwise has not checked.

Anthropic positions Claude as a “thinking partner”, captured 27 August 2026. There is no image generation anywhere in the product, and the wording on its own front door is the clue.

What it is unusually good at is everything around the picture. Give it your room dimensions and it will produce a furniture plan with clearances that respect walkways. Give it a supplier list and it will build a costed schedule. Give it a vague feeling about a room and it will write you a precise prompt to paste into an image model, which is probably its single highest value use here. We collected the ones that work in 42 Claude prompts for interior design. For measuring up first, there is measuring a room from a photo.

Midjourney

Verdict: the most beautiful, the least applicable. Nothing else here produces interior imagery as consistently attractive. For a mood board, a pitch deck or early style exploration, it is still the one that makes people lean in.

Midjourney describes itself on its own home page as a “community-funded research lab of 60 people”, captured 27 August 2026. That is a research posture, not a product built around your floor plan, and the output reflects it.

The problem is structural rather than fixable. Midjourney is an inventor. Ask it to keep your window exactly where it is and change only the sofa, and it will hand you a gorgeous room with a different window. That is not a bug in your prompt, it is what the model is for. There is also no free tier at all, and prompting uses parameters like --ar rather than plain language, which is a small but real learning curve. Use it at the start of a project, then switch. Our Midjourney interior design prompts and Midjourney architecture prompts cover the parameter syntax.

The same room from two angles, with the artworks, the gold table frame and the teal rug consistent across both. Holding a scene together across viewpoints is a different skill from making one pretty frame, and it is where generation models tend to come apart.

Seedream and Grok Imagine 2

Verdict: the specialists worth knowing about. Seedream is the one to reach for when you want to change one region and genuinely leave the rest of the frame untouched, for instance swapping a kitchen worktop without the model rethinking your cabinets. It is also unusually cheap at high resolution, because it charges a flat rate where most models scale with pixels.

ByteDance’s Seedream on fal, captured 27 August 2026. Its own description calls it a model that “integrates image generation and image editing capabilities into a single, unified architecture”, which is exactly the combination interiors need.

Grok Imagine 2 is fast and handles high resolution well, but it is the least predictable of this group on interiors, and predictability is worth more than peak quality when you are iterating. We have prompt sets for both: Seedream prompts for interior design and Grok prompts for interior design.

How to actually pick

Pick by the sentence that matches your situation, not by the leaderboard.

• You have a photo of your room. Gemini or Nano Banana 2 first, Seedream if you only want one area changed.
• You have nothing but a feeling. Midjourney to explore, then move to an editing model once you know the direction.
• You have measurements and a budget. Claude or ChatGPT. No image model will do this and pretending otherwise wastes a week.
• Your render needs readable words in it. GPT Image 2, and only then.
• You have a floor plan you want in 3D. Different job again, covered in turning a 2D floor plan into a 3D model.
• You want to buy what you see. None of these models sells furniture. That is a product feature, not a model feature.

Where this comparison is weak

Three caveats, because roundups in this category tend to overclaim.

• This is a capability and cost comparison, not a controlled render-off. A fair head to head needs the same room, the same prompt and the same seed across every model, scored blind. We have not published that yet. Any article showing you five gorgeous images captioned with five model names, without that control, is showing you five different rooms.
• The interior photographs here are ours, from our creations gallery. They illustrate what this class of model produces and where the hard materials are. They are deliberately not labelled as one model beating another, because we did not run that test.
• Model quality moves faster than any article. Everything above reflects late August 2026 and a single release can reorder it. Treat the capability shape as durable and the rankings as perishable, and check the two pricing pages yourself before budgeting.

Four renders from our own gallery, four very different looks, and no claim about which model made which. That restraint is the point: without a controlled test, a grid like this proves range, not ranking.

Frequently asked questions