The best AI image models in 2026: a selection guide

Image models stopped being interchangeable somewhere in 2024. Today each of the big ones is built around a specialty: one spells long sentences correctly on a chalkboard, one renders glass you would accept as a photo, one returns a usable draft in about three seconds for 8 credits. Pick the wrong one and you pay many times the price for a strength your job never uses.

So before any opinions, here is the evidence. We sent the same three prompts through every image model you can pick in Bildy, once each, no retries and no cherry-picking. One prompt tests words, one tests physics, and one tests obedience:

1. "A cafe chalkboard on a rainy street that says: Coffee 2 EUR - rain is free"
2. "Studio product photo of a glass soda bottle with tiny goldfish swimming inside"
3. A 250-word baroque art brief with layered instructions for pose, composition, lighting and medium - the full text sits right under the gallery, so you can check how closely each model listened.

Flip between the three prompts with the switch below. Under each image: the seconds we waited for that generation, and what one image costs in Bildy. The cheapest models come first. We ran Muse Image, MAI-Image 2.6 and MAI-Image 2.6 Flash through the same three prompts on 27 September, the week we added them to the picker, so their images sit in the same grid.

The third prompt in full, for judging the "Baroque library brief" images against what was actually asked:

A fair-skinned model with classical beauty reclines diagonally across a deep burgundy velvet chaise lounge in the center of a dim, old library. Her head rests near the upper-right of the composition, while her flowing ivory baroque lace gown extends toward the lower-left, spilling over the edge of the chaise. One arm supports her upper body; the other hangs loosely at her side. She looks downward with a languid, contemplative expression.

Dark wooden bookshelves fill the shadowy background. Old leather-bound books are stacked beside and beneath the chaise, with one open near her hand. Withered crimson roses and scattered petals lie across the gown, cushions, and floor.

A single narrow beam of warm light enters from a side window on the left, illuminating her face, upper body, and folds of lace while the rest of the room remains in deep shadow. Slightly elevated three-quarter view, composition inspired by John William Waterhouse, dramatic Rembrandt-style chiaroscuro, deep burgundy, ivory, brown, and black palette, richly detailed traditional oil painting with visible canvas texture and a melancholic, decadent atmosphere.

On that brief, watch two things: whether the medium survived (the prompt asks for an oil painting - several models answered with a photograph) and whether the staging did (head upper-right, gown spilling lower-left, light from the left). Getting both right at once is what separates the premium models here.

The short version

How to judge an image model

Six things separate these models in practice, and the comparison above shows most of them directly:

• Quality for your subject. Photorealism, illustration, and design assets are separate skills. A model can lead one and trail the others.
• Prompt following. Whether "a dachshund in a yellow raincoat" comes back with the raincoat, or with a generic dog on a generic beach.
• Text rendering. Our seven-word chalkboard came back spelled correctly from most of the lineup, which surprised us - the differences show in layout, chalk feel, and stray punctuation. Longer copy and unusual layouts widen the gap fast, and that is where the specialists earn their price.
• Editing control. Some models only generate. Others accept an existing image and change just what you ask.
• Speed. Three seconds and thirty seconds feel like different products once you iterate.
• Price. In Bildy that is credits per image, shown next to every model in the picker.

How Muse Image and the two MAI-Image models did on eight harder tasks

On 27 September we gave Muse Image, both MAI-Image models and Nano Banana 2 six new prompts and two edits each. The prompts ask for things image models often get wrong: a bakery sign that reads exactly "FRESH BREAD - OPEN 7 DAYS", a close-up portrait of an old fisherman, a product shot of a mug, a market seen from above with exactly seven red umbrellas and one dog, a flat vector fox, and two hands knitting a scarf. One edit asks a model to put a man on a sunset beach and print "BILDY 2026" on his T-shirt. The other asks it to add a painting, a rug and a sleeping cat to a photo of a living room.

Eight tasks is a small sample, and each model got one try per task, so one lucky or unlucky image could change a row. All four finished every task, and Muse Image was the only one that drew the right number of umbrellas.

The models worth knowing by name

Muse Image (18 credits)

Meta charges one flat price per picture for Muse Image, and an edit costs the same as a new image. It is the cheapest model in this list we would hand a real job. In the eight-task test it counted the umbrellas right, spelled the bakery sign letter for letter, and drew a fisherman we would have taken for a photo. Both of its edits did what we asked: it put the man on the beach with the new text on his shirt, and it added the painting, the rug and the cat to the living room. In the gallery above, its goldfish are actually tiny, and its baroque painting has the single narrow beam of light from the left that the brief asks for. Each image took about 13 seconds. We now run Muse Image when a free account picks Auto, for every player in a Game of Prompts round, and when someone calls the Bildy API without naming a model.

MAI-Image 2.6 Flash (35 credits) and MAI-Image 2.6 (71 credits)

Microsoft sells two versions of the same model. Flash took about 11 seconds per image in our test, spelled the bakery sign exactly, drew believable knitting hands and handled both edits well. It also drew nine umbrellas when we asked for seven. The full MAI-Image 2.6 costs more and took about 23 seconds per image, and we could not see what the extra money bought: it drew eight umbrellas, and the rest of its images were no better than Flash's. Both drew extras nobody asked for: in the gallery above, Flash put hearts and a "Be kind" sign around the chalkboard, and both printed a made-up brand on the goldfish bottle. With either one, an edit costs a little more than a new image, because Microsoft charges for each photo you send it.

FLUX 2 Pro (75 credits)

Black Forest Labs built the safe default. It is quick, it handles product shots and illustration with the same reliability, and its text rendering is good enough for a brand name or a short caption. Its weakness is the flip side of that reliability: outputs can feel generic, and it wins almost no single category outright. Teams that produce varied marketing images every day tend to settle on it because the tenth result looks as dependable as the first.

Nano Banana Pro (223 credits)

Google's strongest image model in Bildy. It reasons through complex, multi-step instructions, keeps compositions coherent when a prompt asks for several things at once, and outputs up to 4K. Like Nano Banana 2 it also edits existing images, which the pure generators in this list cannot. It is the model to reach for when the job is hard, and a waste when the job is merely big.

Ideogram v3 (100 credits)

The typography specialist. Long strings, unusual fonts, and layouts with several text blocks come out spelled correctly and, just as important, set like a designer placed them - look at how its chalkboard above handles the line breaks. Two caveats: its photorealism trails FLUX, and outputs lean toward a designed, poster-like look even when you did not ask for one. Use it for menus, signage, packaging, and social graphics with embedded copy.

GPT Image 2 (78 credits)

OpenAI's image model follows long, precise instructions better than anything else in the picker: five constraints in one prompt and it hits all five, and its chalkboard above threw in a chalk-drawn rain cloud nobody asked for but everybody wants. The tradeoff is patience - it took over half a minute per image in our run. Draft elsewhere, then hand it the complicated final.

Seedream 5 Lite (58 credits)

ByteDance built the volume worker: quality that lands in the "good enough for most production work" range, at a price and speed that let you stop counting images. Strong product shots, occasional wobbles in fine detail, decent text. When you need thirty catalog variations, this is the honest choice over running a premium model thirty times.

Nano Banana 2 (112 credits)

We run Nano Banana 2 when someone with a plan, a trial or bought credits picks Auto. It edits: give it an existing image and normal language ("keep the product, swap the background to a warm studio") and it changes just that. As a generator it has more visual character than FLUX and follows creative descriptions well - its goldfish bottle above came back with an invented brand label, which tells you something about how it thinks. If you plan to keep working on an image after the first result, starting here saves you a model switch later.

Z-Image Turbo (8 credits)

It takes about three seconds per image, costs 8 credits and stops at roughly 1K resolution. Fine detail is soft and the style range is narrow - and then it spelled our whole chalkboard correctly, twice, which pricier models have failed at. Treat it as a sketchbook: explore a handful of compositions for the price of one Seedream image, then hand the winning idea to a stronger model.

The rest of the lineup

A few of the others are the right answer for narrower jobs: Wan 2.7 Image Pro (50 credits) reads long prompts unusually well - its baroque image follows the brief's staging almost line by line, though it answered an oil-painting request with a photograph. Runway Gen-4 Image made one of the most photoreal goldfish bottles in the whole comparison and keeps characters consistent across reference images. Recraft V4 is built for logos and design assets. Luma Photon gives quick photoreal drafts. Qwen Image Edit+ and P-Image Edit are cheap editors. They are all in the comparison above, so you can judge every one with your own eyes.

Mistakes we see people make

The most common one is drafting on the most expensive model. The first five attempts at any idea are about composition, and Z-Image Turbo shows you composition for 8 credits.

Second: asking a budget model for readable text. Our short chalkboard went fine almost everywhere, and on a real menu or a poster with three text blocks the gap opens wide. If customers will read words in the image, that alone decides the model, and the answer is Ideogram v3 or GPT Image 2.

Third: rewriting the prompt five times when the model was the problem. If a model keeps missing the same detail, the same prompt on a different model often lands on the first try. The comparison above exists so you can guess the right model before spending anything.

Fourth: generating with a model that cannot edit, then starting over for every revision. If you know revisions are coming, generate with a model that edits, such as Nano Banana 2, Muse Image or Seedream, and revise in place.

A workflow you can copy

Draft with Z-Image Turbo until the composition is right; five drafts cost 40 credits. Then spend once on the specialist for your job: FLUX 2 Pro or Runway Gen-4 Image for a photo, Ideogram v3 for text, Nano Banana Pro when the instruction is complicated. If revisions come in, switch to Nano Banana 2 and edit the result in place. Five drafts, one FLUX 2 Pro image and one Nano Banana 2 edit come to 227 credits, and you can see every step in your history. On a tight budget, you can make the final image and the edit with Muse Image for 36 credits.

To switch models in Bildy, open the image editor, click the model name next to the prompt box, and pick from the list. The credit price is shown on every entry, and your choice sticks for the session.