Three prompts. Five models. One afternoon of watching progress bars and squinting at reflections on a sneaker that doesn't exist. That's how I spent last Tuesday, and it's the closest thing to a real answer I've found for the question everyone keeps asking me: which AI image generator should I actually use in 2026?
My name is Artem, and I run the Writingmate blog. I've been testing image models since the original Stable Diffusion checkpoints made everyone's hands look like they'd been through a wood chipper, so I've watched this space go from "impressive but broken" to "genuinely hard to tell apart from a camera." That progress is exactly why a spec sheet doesn't cut it anymore — every model claims 4K output and "photorealistic" quality. The only way to know which one wins your specific job is to run the same job through all of them and look at the actual pixels.
So that's what I did. I picked three prompts that map to real work — a product shot, a social media graphic, and a portrait — and ran each one through five of the models people actually argue about in 2026: Google's Nano Banana Pro, OpenAI's GPT Image 2, Ideogram 4.0, Black Forest Labs' FLUX.2 Pro, and Recraft V4.1. No cherry-picking, no tenth-attempt-was-the-best-one nonsense. First generation, default settings, same prompt text pasted into each one.
How I Ran This Test
Here's the thing about most "AI image generator comparison" posts: they show you one image per model and call it a day. That tells you almost nothing, because a single lucky generation doesn't reveal how a model behaves when your prompt has three or four specific requirements stacked on top of each other. So I scored every output on three criteria that actually matter when you're shipping something real:
- Prompt adherence — did it follow the specific details (angle, lighting, color, composition) instead of just the vibe?
- Realism — do skin, materials, shadows, and reflections hold up under a close zoom?
- Text and typography — when the prompt asked for legible words on the image, did they come out spelled correctly and placed sensibly?
I ran each model through Writingmate's text-to-image tool, which gave me all five models in one place instead of juggling five separate subscriptions and five separate export folders. If you want to replicate this test yourself, that's genuinely the fastest way to do it — you're not stuck committing to one vendor before you know which one actually wins your use case.
Test 1: The Clean Product Shot
The prompt: "A minimalist glass skincare bottle on a white marble surface, soft studio lighting from the top left, subtle reflection beneath the bottle, small label reading 'LUME' in a clean sans-serif font, e-commerce product photography style."
This is the bread-and-butter job for anyone running a Shopify store or an Amazon listing, and it's brutal on models because it demands three things at once: photorealistic materials (glass and marble), a controlled lighting direction, and legible text on a tiny label.
Nano Banana Pro nailed the lighting direction and the marble texture without me having to ask twice — the reflection under the bottle looked like it belonged there instead of being pasted on. GPT Image 2 came close on realism but pushed the composition slightly off-center from what I asked for, a small but real prompt-adherence miss. Ideogram 4.0 was the standout on the label itself — "LUME" came out crisp and correctly spelled on the first try, which isn't nothing given how often text-in-image requests turn into soup. FLUX.2 Pro produced the most painterly, almost-too-polished glass, and Recraft V4.1 leaned into its vector strengths and gave me a label so clean it looked ready to hand to a print shop, though the glass felt slightly flatter than the others.
Test 2: The Social Media Art Piece
The prompt: "A bold, colorful Instagram carousel graphic for a coffee brand, halftone texture, warm orange and cream palette, large headline text 'MONDAY FUEL' in a chunky retro font, coffee cup illustration in the corner."
This one tests something different — style consistency and typography under stylistic pressure, since a chunky retro headline is a lot harder to render correctly than plain body text. Social graphics also need to feel intentional and on-brand, not just "AI made this."
Ideogram 4.0 won this round outright. The headline was fully legible, the retro font style actually looked chosen rather than generated, and the halftone texture matched the brief closely. Recraft V4.1's vector output was a close second — genuinely useful if you need to hand the file to a designer for tweaks, since its output can come out as an editable SVG rather than a flattened raster image. GPT Image 2 got the palette and mood right but flattened "MONDAY FUEL" into a slightly warped arc I didn't ask for. Nano Banana Pro handled the illustration style well but occasionally dropped a letter on longer text strings, and FLUX.2 Pro produced the most visually striking composition of the five but struggled the most with the headline, rendering something close to but not exactly "MONDAY FUEL" on two of three attempts.
Test 3: The Realistic Portrait
The prompt: "A close-up photorealistic portrait of a woman in her 30s with freckles, natural window lighting, shallow depth of field, wearing a green wool sweater, neutral studio background, shot on a 50mm lens."
Portraits are where AI image generators have historically fallen apart — hands, eyes, and skin texture are unforgiving, and "photorealistic" gets thrown around a lot more loosely than it should. This prompt is designed to punish anything that still renders skin like plastic.
Nano Banana Pro was the clear winner here. The skin texture held up on a full zoom, the freckle placement looked natural rather than stamped on, and the shallow depth of field actually blurred the background the way a real 50mm lens would. GPT Image 2 was close behind and arguably won on eye detail, though the wool texture on the sweater came out slightly too smooth. FLUX.2 Pro produced strong lighting but occasionally over-smoothed skin in a way that read as slightly uncanny under close inspection — the classic "AI skin" tell, just a subtler version of it than older models. Ideogram 4.0 and Recraft V4.1 both produce solid portraits, but neither is purpose-built for this job the way the other three are, and it showed in slightly less convincing skin and eye rendering.
The Scorecard
Here's how all five stacked up across the three tests, scored out of 5 on each criterion based on what I actually saw in the outputs above.
Model | Prompt Adherence | Realism | Text / Typography | Best Job |
|---|---|---|---|---|
Nano Banana Pro (Gemini 3 Pro Image) | 5/5 | 5/5 | 4/5 | Portraits, product photography |
GPT Image 2 | 4/5 | 4/5 | 4/5 | All-round consistency |
Ideogram 4.0 | 4/5 | 3/5 | 5/5 | Social graphics, logos, posters |
FLUX.2 Pro | 4/5 | 4/5 | 2/5 | Stylized, painterly compositions |
Recraft V4.1 | 4/5 | 3/5 | 4/5 | Vector work, brand assets, print |
No single model swept all three tests, and that's the actual finding here, not a cop-out. If you're picking one model to cover 80% of your work, Nano Banana Pro and GPT Image 2 are the safest general-purpose bets in mid-2026. If typography is your bottleneck — posters, packaging mockups, social carousels with real headline text — Ideogram 4.0 is worth the switch even if you use something else for everything else.
Pricing and Where Each One Actually Lives
Access matters as much as quality here, because a few of these still gate their best tier behind an API key or a specific subscription.
Model | Native Resolution | Access | Notable Constraint |
|---|---|---|---|
Nano Banana Pro | Up to 4K | Gemini app, API, or bundled in Writingmate | Free tier drops to the older Nano Banana model after your quota |
GPT Image 2 | Up to 4K | ChatGPT, OpenAI API, Writingmate | Per-token pricing model makes cost variable by prompt length |
Ideogram 4.0 | Up to 2K | Open-weight (Hugging Face) or hosted | Commercial use requires a paid license even though weights are open |
FLUX.2 Pro | Up to 2K | API and third-party hosts | Pro tier isn't self-hostable; only the smaller Klein variant is |
Recraft V4.1 | 2048×2048 raster / unlimited vector | Recraft Studio, API | Vector mode is a genuinely different pipeline, not a raster-to-SVG trace |
If you want to browse what else is available beyond these five, Writingmate's image model catalog keeps an updated list as new releases land — and given how often a new "best" model shows up lately, that list is worth bookmarking rather than trusting any single comparison post as gospel, including this one.
"Ideogram 4.0 blows past Nano Banana Pro and can run locally — instructions in Japanese work too" — a recurring theme in AI art discussions on r/StableDiffusion
"Nano Banana Pro超えでローカルで実行可能な画像生成AI「Ideogram 4.0」が登場、日本語での指示も可能" — @gigazine on X
Which One Should You Actually Open First?
If I had to boil three prompts and fifteen generations down to one piece of advice, it's this: stop trying to find one model to rule everything. I use Nano Banana Pro for anything that needs to look like it came from a camera — portraits, product shots, lifestyle photography. I switch to Ideogram 4.0 the second a headline or a label needs to be spelled correctly. And if a client wants an editable logo file instead of a flattened image, Recraft V4.1 is the only one of the five that hands me something I can actually open in Illustrator without redrawing it.
GPT Image 2 is the one I'd recommend to someone who doesn't want to think about any of this — it's not the outright winner in any single category here, but it's never far off, and that consistency is worth something when you're moving fast. FLUX.2 Pro is the pick if your work leans more illustrative or painterly than photographic; it's the one model here that didn't seem to be trying to look like a photo at all, and it's better for it in the right context.
How to Run This Same Test Yourself
You don't need to take my scorecard as final. Prompts behave differently depending on your exact wording, your brand's color palette, and what "realistic" means for your specific product. The fastest way to check is to run your own three test prompts — one product shot, one social graphic, one portrait — through a few models back to back.
That's exactly what Writingmate's AI image generator is built for: one interface, all five models from this comparison plus dozens more, and no need to sign up for five separate tools just to figure out which one your workflow actually needs. Check current model access on the pricing page before you commit to a plan, since some models are gated to higher tiers depending on resolution and volume.
So here's the bottom line: in 2026, "best AI image generator" isn't a single answer anymore — it's a lookup table based on the job in front of you. Keep this scorecard handy, but trust your own eyes on your own prompts before you commit a workflow to any one model.
See you in the next one!
Artem
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Written by
Artem Vysotsky
Ex-Staff Engineer at Meta. Building the technical foundation to make AI accessible to everyone.
Reviewed by
Sergey Vysotsky
Ex-Chief Editor / PM at Mosaic. Passionate about making AI accessible and affordable for everyone.