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Best AI Model for Architectural Rendering: 7 Models, 6 Jobs

We ran 7 AI image models on the same 6 design inputs. GPT Image 2.5 Sunburst passed all six with the most photoreal results. Best value per job, credits and seconds.

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Piotr Obidowski12 mins read

Best AI Model for Architectural Rendering: 7 Models, 6 Jobs
On this page
  1. How We Tested the Seven Models
  2. Pick by Job
  3. When the Cheaper Model Is Enough
  4. What It Can't Do
  5. Frequently Asked Questions
  6. The Short Version

Last refreshed: October 22, 2026. This page is updated on the day each new image model goes live in Visualizee.

The best AI model for architectural rendering in our test is GPT Image 2.5 Sunburst, the Ultra preset in Visualizee. It passed all six design jobs, from a SketchUp model to a kitchen remodel, kept every element we asked it to keep, and made the most photoreal images of the seven models, at 300 credits and about 1.5 minutes a render. Nano Banana Pro also passed all six, for half the credits and in about 21 seconds. On a tighter budget the best value changes by job: Seedream 5.0 Pro for architecture from a model and kitchens, Grok Imagine 2.0 for staging and product scenes, Nano Banana 2.1 for car paint and sketches.

Quick answer: Best overall: GPT Image 2.5 Sunburst (300 credits, median 98 s), six of six jobs and the most photoreal results. Same reliability at half the price: Nano Banana Pro (150, 21 s). Best value per job: architecture from a model Seedream 5.0 Pro (80, 135 s), interiors Grok Imagine 2.0 (80, 22 s), kitchens Seedream 5.0 Pro (80, 153 s), cars Nano Banana 2.1 (60, 15 s), product packshots Grok Imagine 2.0 (80, 19 s), sketches Nano Banana 2.1 (60, 17 s).

We gave all seven image models in Visualizee (our tool) the same six inputs and the same sentence each, at 1K, once, with no retries. Pass: the requested change is right and nothing the instruction says to keep was altered; added context that doesn't touch a kept element (a hedge, curtains, deck lights, a moodier sky) is fine. Slip: something the instruction names, or that defines the design, changed: the camera, the geometry, a fixture, a door style. Flag: usable after a retouch, not a design failure: readable brand text, or a number plate painted over.

ModelFrom a modelStagingKitchenCarProductSketchCredits (1K)Median s
Nano Banana 2.1Slip: camera drifts, adds a glass panelSlip: camera widenedSlip: camera pulled back, trim repaintedBest value: passSlip: chair redesignedBest value: pass6018
Nano Banana ProPass: lines upPassPassPassPassPass (adds deck lights)15021
Muse ImageSlip: carport frame turned darkSlip: radiator removedSlip: door style changedPass (glossier than satin)Slip: chair turned to face cameraSlip: bare hillside, no forest5021
Grok Imagine 2.0Slip: camera driftsBest value: passSlip: doors changed, drawers addedFlag: plate painted overBest value: passPass8030
Seedream 5.0 ProBest value: tightest line-upSlip: sofa faces away from the windowsBest value: tightest line-upFlag: plate painted overPassPass80139
GPT Image 2.5 FlarePass (adds hedges, trees)PassSlip: window trim painted greenFlag: plate painted overFlag: brand text on a bookPass15030
GPT Image 2.5 SunburstPass (adds hedges, trees)Pass (adds curtains)PassPassFlag: brand text on a bookPass30098

"Best value" is the cheapest pass with no flag that kept the input most exactly; where two passed equally, the cheaper or faster one wins. On the car, Muse Image is cheaper but slower and its paint came out glossier than satin, so Nano Banana 2.1 takes it. Sunburst is the best overall: a pass on every job, with the most finished-looking images. Passes out of six (flags in brackets): GPT Image 2.5 Sunburst 6 (1 flag), Nano Banana Pro 6, Seedream 5.0 Pro 5 (1 flag), GPT Image 2.5 Flare 5 (2 flags), Grok Imagine 2.0 4 (1 flag), Nano Banana 2.1 2, Muse Image 1. The full results, with every render time, are in the six images below.

How We Tested the Seven Models

Every model got the same input file, the same sentence and 1K resolution, one run each. We judged each output against its input on four things: whether the camera and geometry stayed put, whether the materials changed as asked, whether small parts (window trim, cabinet doors, buttons, the number plate) survived, and whether anything added touched an element we asked to keep. Realistic extras that make the photo more convincing, such as a garden or curtains, count as a pass.

The six inputs are a fixed benchmark kit we run on every new image model: a SketchUp-style exterior screenshot, an empty-room photo, a dated kitchen, a car, a furniture packshot and a hand sketch. They are generated images with no people, brands or real addresses. Each instruction says, in plain words, what to change and what must not change, which is exactly what you type to Vizzy in the app.

To check the camera we laid each output over its input at 50% opacity: if the model kept the camera, the edges line up; if it moved, every edge doubles. We also measured how many edges of the input reappear in the output, which is how "tightest line-up" was decided.

One caveat matters. The kit inputs were made with GPT Image 2.5 Flare, so Flare and its sibling Sunburst are re-rendering images from their own model family. If anything, that should favour them. Flare still slipped on the kitchen, and both needed a retouch on at least one job.

Nano Banana 2.1 is Google's more efficient counterpart to Nano Banana Pro (Gemini 3 Pro Image), per Google's model page; the other five come from xAI (Grok Imagine), ByteDance (Seedream), OpenAI (the two GPT Image 2.5 models) and Meta (Muse Image). Prices are what each render cost in Visualizee at 1K on October 22, 2026. Nano Banana Pro, Seedream 5.0 Pro, GPT Image 2.5 Flare and Sunburst count as Pro renders on your plan; Nano Banana 2.1, Muse Image and Grok Imagine 2.0 do not. In the app, Grok Imagine 2.0 is the Fast preset, Flare is Pro and Sunburst is Ultra; the rest are under Advanced.

Pick by Job

The winner depends on what has to stay fixed. Read the job you do, look at the input and the seven renders, and copy the instruction if it is close to yours.

Architecture from a model: Sunburst, or Seedream 5.0 Pro on a budget

GPT Image 2.5 Sunburst made the render you would send a client: same camera, every window, the door, the overhang and the carport, real larch boards and render, and a believable garden around the house, in 79 seconds for 300 credits. Seedream 5.0 Pro lined up most exactly for 80 credits but took 135 seconds and left the house in an empty field; Nano Banana Pro lined up in 21 seconds for 150.

Input and seven models in a grid, each with render time, credits and verdict: a SketchUp-style screenshot of a two-story modern house with a wood-clad upper floor and a carport, and seven photoreal renders of it at late afternoon, from Nano Banana 2.1, Nano Banana Pro, Muse Image, Grok Imagine 2.0, Seedream 5.0 Pro, GPT Image 2.5 Flare and GPT Image 2.5 Sunburst

What we typed: "Turn this model screenshot into a photoreal exterior render on a clear late afternoon. Keep exactly: the camera angle, the house shape and proportions, the flat roof and its overhang, every window and the front door in the same place and size, the cantilevered wood-clad upper floor, the carport on the right and the path. Change only: real materials (white smooth render on the lower floor, vertical larch boards on the upper floor, dark gray window frames, real glass with reflections), a real lawn and low planting along the path, a real sky. Don't add or remove any window, door, column or floor."

GPT Image 2.5 Flare (25 s, 150 credits) also passed with a similar garden. Muse Image lined up but painted the white carport frame dark gray. Grok Imagine 2.0 and Nano Banana 2.1 moved the camera, so their renders won't sit on top of your model view. The SketchUp rendering guide shows how to export the screenshot and keep a series consistent, and sketch to render has the recorded workflow.

Interiors: Sunburst, or Grok Imagine 2.0 on a budget

Sunburst staged the empty room as described, kept the camera, windows, radiator, doorway and light fitting, and added linen curtains and olive trees that make it look lived in, for 300 credits in 99 seconds. Grok Imagine 2.0 did the job for 80 credits in 22 seconds with a plainer room; Flare and Nano Banana Pro passed at 150.

Input and seven models in a grid, each with render time, credits and verdict: an empty living room with two tall windows, a radiator and a doorway, and the room furnished as a Scandinavian living room by each of the seven models

What we typed: "Furnish this empty room as a calm, lived-in Scandinavian living room: a light gray three-seat sofa facing the windows, a round oak coffee table, a wool rug, one lounge chair, a floor lamp, a low sideboard against the back wall, a large plant and two framed prints. Keep exactly: the camera, the walls, both windows and their frames, the radiator, the doorway to the hallway, the oak floor, the ceiling and the light fitting. Don't add or move any window or door, and don't change the floor or wall color."

Muse Image is the one to avoid here: it put the sofa where the radiator was and the radiator is gone. Seedream turned the sofa to face the camera instead of the windows the instruction named, and Nano Banana 2.1 widened the shot. In the National Association of Realtors' 2025 Profile of Home Staging, 83% of buyers' agents said staging made it easier for a buyer to picture the property as a future home, and the living room is the most staged room (91%). A staged photo that quietly removes a radiator is a promise the room can't keep. Label it as virtually staged; furnish an empty room walks through the job, and the AI interior design hub lists every interior job.

Kitchens: Sunburst, or Seedream 5.0 Pro on a budget

Sunburst and Seedream 5.0 Pro both kept every cabinet door, its raised arched panel, the oak window trim and the camera, and changed only the finishes. Sunburst took 96 seconds for 300 credits; Seedream took 153 seconds, the second-slowest render in the test, for 80. Nano Banana Pro passed as well in 20 seconds. In our earlier tests GPT Image 2.5 Flare split renovation requests into before and after panels; in this run neither GPT Image 2.5 model did.

Input and seven models in a grid, each with render time, credits and verdict: a dated kitchen with honey oak cabinets and a fluorescent ceiling box, and the same kitchen remodeled with sage green cabinets, brass pulls, white quartz and white tile by each of the seven models

What we typed: "Remodel this kitchen: paint all the cabinets matte sage green with brushed brass bar pulls, replace the countertop with white quartz, replace the backsplash with glossy white vertical subway tile, and swap the fluorescent box for two simple flush ceiling lights. Keep exactly: the camera, the L-shaped layout, every cabinet door and drawer in the same place and size, the range, microwave, sink, window, curtain and refrigerator where they are, and the floor. Don't add, remove or move any cabinet or appliance."

This is where the cheap models slipped. Muse Image and Grok Imagine 2.0 both replaced the arched doors with flat shaker doors, and Grok turned a base cabinet into a stack of drawers. A homeowner would notice: those are new cabinets, not painted ones. Flare kept the doors but painted the window trim green. For a remodel proposal, pay for a model that keeps the doors. Kitchen cabinet color has the recorded edit, and the AI kitchen design hub lists every kitchen job.

Cars: Sunburst, or Nano Banana 2.1 on a budget

Every model changed the paint and the wheels without touching the body, the lights or the parking lot. The difference is the blank number plate: Grok, Seedream and Flare painted it body green. That is fine for a marketing image and wrong for a sales listing, so we flag it rather than fail it. Sunburst kept it, with the richest paint of the set (89 s, 300 credits); Nano Banana 2.1 kept it with a true satin finish for 60 credits in 15 seconds.

Input and seven models in a grid, each with render time, credits and verdict: a silver unbadged hatchback in a parking lot, and the same car in deep forest green with gloss black multi-spoke wheels from each of the seven models

What we typed: "Change this car's paint to a deep satin forest green and its wheels to gloss black multi-spoke wheels of the same size. Keep exactly: the car's body shape, every panel line, the headlights, grille, mirrors and trim, the ride height, the camera angle, the parking lot, the hedge and the light. Change nothing except the paint color and the wheels. No badges, logos or text."

Nano Banana Pro and Muse Image also passed. Muse is the cheapest at 50 credits, but took 43 seconds and its green came out darker and glossier than "satin". The wheel designs differ from model to model, as expected when you ask for "multi-spoke" without a picture; give a reference image of the wheel if the design matters. Treat paint colors as approximate; the car wrap colors test shows where satin and matte shades drift. Wheel visualizer covers the wheel job.

Product packshots: Grok Imagine 2.0, or Sunburst after a retouch

Grok Imagine 2.0 put the exact armchair (same angle, curved arms, walnut frame, both buttons) in a sunny room, for 80 credits in 19 seconds. Seedream 5.0 Pro and Nano Banana Pro passed too. Sunburst kept the chair exactly and built the most styled room around it, but printed a magazine title on the book, so retouch that before use.

Input and seven models in a grid, each with render time, credits and verdict: a mustard armchair with a walnut frame on white, and the same armchair placed in a bright living room by each of the seven models

What we typed: "Place this exact armchair in a bright living room lifestyle scene: next to a tall window in soft morning light, on a light oak floor with a cream wool rug, a small side table with a book and a ceramic cup, a plant in the corner, white walls. Keep the armchair exactly as in the photo: same shape, walnut frame and tapered legs, curved armrests, mustard woven fabric and its texture, both buttons on the back cushion, same three-quarter angle. Don't redesign, recolor or resize the chair."

Nano Banana 2.1 redesigned the chair outright, and Muse Image turned it to face the camera, so the product photo no longer matches the catalog shot. Both GPT Image 2.5 models printed a real magazine title on the book on the side table: the chair is right, but a third-party brand name in a product photo has to be retouched out before use. Furniture in a room covers this job, and the colorways from one sample photo test shows what holds when you recolor a product.

Sketches: Sunburst, or Nano Banana 2.1 on a budget

Six of seven models turned the fineliner sketch into a convincing cabin at dusk with the roof pitch, the glazed gable and its mullions, the deck and the chimney intact. Sunburst gave the most atmospheric dusk (124 s, 300 credits). A sketch has no exact photo to match, so for early options the cheapest pass is enough: Nano Banana 2.1, 60 credits, 17 seconds.

Input and seven models in a grid, each with render time, credits and verdict: a black fineliner sketch of a cabin with a glazed gable and a wrap-around deck, and photoreal renders of the cabin at dusk in a pine forest from each of the seven models

What we typed: "Turn this sketch into a photoreal render of the cabin at dusk in a pine forest. Keep exactly: the camera angle, the roof shape and pitch, the big glazed gable with its mullions, the wrap-around deck and railings, the chimney pipe, the side window and the two pine trees on the left. Materials: dark-stained vertical timber cladding, a dark standing-seam metal roof, black window frames, warm light glowing inside. Don't add windows, doors, dormers or extra buildings."

Muse Image kept the two pine trees but set the cabin on a bare grassy hill instead of in a forest. Seedream's interior glow is dimmer than the others'. Grok and Flare also made strong skies. Once you have the render, image to 3D can turn a single object from it into a textured 3D model; that is a separate output, so it is not in this table.

When the Cheaper Model Is Enough

The cheap models are fine when nothing in the input has to stay exactly where it is, and slip when it does. Nano Banana 2.1 (60), Muse Image (50) and Grok Imagine 2.0 (80) don't count as Pro renders, so they cost less twice over.

JobCheapest pass, no flagFastest pass, no flag
Car paint and wheelsMuse Image, 50 credits (43 s), paint glossier than askedNano Banana 2.1, 60 credits (15 s)
Sketch to renderNano Banana 2.1, 60 credits (17 s)Same
Product in a sceneGrok Imagine 2.0, 80 credits (19 s)Nano Banana Pro, 150 credits (18 s)
Staging an empty roomGrok Imagine 2.0, 80 credits (22 s)Same
Architecture from a modelSeedream 5.0 Pro, 80 credits (135 s)Nano Banana Pro, 150 credits (21 s)
Kitchen remodelSeedream 5.0 Pro, 80 credits (153 s)Nano Banana Pro, 150 credits (20 s)

Two rules of thumb. If you are exploring ten colors or ten layouts and will keep one, render the ten on a cheap model and redo the keeper on Sunburst (or Nano Banana Pro to save credits). If a second try is likely because the room moved, the cheap render was not cheaper: two 80-credit renders cost more than one at 150. Our Nano Banana 2.1 vs Pro test goes deeper into that trade-off.

What It Can't Do

Only Sunburst and Nano Banana Pro passed all six jobs, Sunburst needed one retouch, and one run per input is a small test. These are the limits to plan around.

  • Models change what you leave open, and sometimes what you didn't. Added gardens, curtains and deck lights are harmless; a darker carport, a painted-over plate and text on a book are not. Name every element that must stay, and check additions as well as losses.
  • Cheap models redesign what they should only repaint. Muse Image and Grok Imagine 2.0 swapped the kitchen's door style; Nano Banana 2.1 redesigned the armchair. Count doors, drawers and buttons before a render goes to a client.
  • The best models are the slow ones. Sunburst took 79 to 124 seconds a render and Seedream 5.0 Pro 121 to 155, five to ten times longer than the fastest models. Explore on a fast model, then render the final on Sunburst.
  • Text turns up where nobody asked for it. The two GPT Image 2.5 models printed a magazine title on a plain book. Signage and lettering you do want get their own test.
  • No dimensions, no engineering. A render that lines up with the model view is still a picture. Sizes and structure come from your drawings.
  • One run each, one day. Another run can come out better or worse, and models get updated. The pattern above is what to expect, not a guarantee; this page is rerun on every launch.

Frequently Asked Questions

What is the best AI model for architectural rendering from a SketchUp model?

GPT Image 2.5 Sunburst. It kept every window, the door, the carport and the camera from the screenshot and added a believable garden, the most finished-looking render of the seven, for 300 credits in 79 seconds. On a budget, Seedream 5.0 Pro lined up most exactly for 80 credits but took 135 seconds and left an empty field; Nano Banana Pro lined up in 21 seconds for 150. Grok Imagine 2.0 and Nano Banana 2.1 moved the camera.

Which AI model is best for virtual staging of an empty room?

Grok Imagine 2.0, at 80 credits and 22 seconds, furnished the room exactly as asked and kept the camera, both windows, the radiator, the doorway and the light fitting. GPT Image 2.5 Flare, Sunburst and Nano Banana Pro passed as well. Muse Image removed the radiator, Nano Banana 2.1 widened the camera and Seedream turned the sofa away from the windows.

Which AI model should I use if I only want one?

GPT Image 2.5 Sunburst, the Ultra preset in Visualizee. It passed all six jobs and gave the most photoreal results, at 300 credits and a median of about 98 seconds; one render (the chair scene) needed a small retouch for text on a book. If you want the same six-of-six reliability for half the credits and in about 21 seconds, use Nano Banana Pro.

Is the most expensive model the best one?

On these inputs, yes. GPT Image 2.5 Sunburst costs 300 credits at 1K, the most of the seven, and it passed all six jobs with the most photoreal results; one chair render needed a retouch for text on a book. Nano Banana Pro also passed all six for half the price, so it is the better buy when you render many options.

How often is this comparison updated?

Every time a new image model goes live in Visualizee. The new model runs on the same six inputs with the same words at 1K, and its row is added to the table on the same day. The last refresh date is at the top of the page.

The Short Version

For the final image, use GPT Image 2.5 Sunburst: it passed every job and gave the most photoreal results. For the same reliability at half the price, use Nano Banana Pro. For options you will throw away, Nano Banana 2.1, Grok Imagine 2.0 or Seedream 5.0 Pro do the job for 60 to 80 credits; check the camera and the fixtures before anything goes to a client.


Try it on your own model view. Upload a SketchUp screenshot or a sketch and tell Vizzy what to keep and what to change: try Visualizee free, 5 renders (4 if you use your one Pro render), no card.

Sketch to Render. On your own picture.

Upload a hand sketch or a SketchUp screenshot and describe the materials and light. Vizzy keeps your geometry, then revises one change at a time.

Pencil and ink sketch of a modern timber cabin with a glazed gable on a slope among pine trees, mountains behind
Photoreal larch-clad cabin with a glazed gable on an alpine slope at sunset, pines, a misty valley and snowy peaks behind
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Model testPublished

  • Architectural Rendering
  • AI Model Comparison
  • GPT Image 2.5 Sunburst
  • Nano Banana Pro
  • Seedream 5.0 Pro
  • Grok Imagine 2.0

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