All four of the models I use every week for marketing work are “good enough” now. That’s the new reality. Two years ago the question was “which model doesn’t produce nightmare hands?” Today every model is capable of producing usable brand assets at speed. The question worth asking is narrower and more boring: which tool fits which job.
I’ve been running Midjourney, GPT-Image 2 (the one inside ChatGPT), Google’s Nano Banana, and Higgsfield in parallel for the last few months on real brand work. Below is how I actually use them, what they’re good for, what they’re terrible at, and the workflow I settled on.
If you want the executive summary: Midjourney for editorial illustration and hero imagery, GPT-Image for in-context edits and anything that needs text rendered correctly, Nano Banana for fast iteration and anything text-heavy, Higgsfield for founder-face short video. Use all four. They cost less than one junior designer.
Quick verdict
| Job | Best model | Runner-up |
|---|---|---|
| Editorial illustration / hero images | Midjourney | Nano Banana |
| Text-in-image (ads, posters, social) | GPT-Image 2 | Nano Banana |
| In-context edits (“make the bag red”) | GPT-Image 2 | — |
| Fast iteration / volume | Nano Banana | GPT-Image 2 |
| Brand-consistent illustration series | Midjourney | GPT-Image 2 |
| Talking-head video | Higgsfield | Runway |
| Product photography (real-looking) | GPT-Image 2 | Midjourney v7 |
If you can only pick two, pick Midjourney and GPT-Image. That covers 80% of what a lean marketing team needs to produce.
Midjourney
Still the aesthetic leader. It’s the model most designers I know actually enjoy prompting. Output quality is the best of the four for anything editorial, painterly, or stylized. The color sense is better. The composition discipline is better. The “house style” it develops over a long project is tighter.
Where it’s weakest: text rendering is poor, in-context editing is clunky (the new editor helps but isn’t close to GPT-Image), and it requires more prompt craft to get what you want. If you hand Midjourney to someone who doesn’t know how to prompt, you get art-school reject pieces on the first pass.
Use it for: the hero image of every blog post, press assets, brand illustration, anything that needs to look like a magazine or tech publication designed it.
Skip it for: anything with readable text, product mockups that need to look photoreal, or workflows where speed matters more than quality.
GPT-Image 2
The big unlock. GPT-Image 2 changed the game in two specific ways: it renders text correctly (most of the time), and it does in-context edits better than anything else.
“Make a variant of this image with the bag in red” used to be a trip through Photoshop or a re-generation from scratch. Now it’s one sentence. That alone saves designers hours a week. And “generate a poster that says ‘Launch April 15’ in a sans-serif font” now works — the letters are the right letters, spelled right, in roughly the right font. A year ago this was science fiction.
Where it’s weakest: aesthetic range. GPT-Image has a recognizable “OpenAI-house-style” look that’s clean but unexciting. If you want work that feels like it came out of an award-winning design studio, it’s not the right tool. If you want work that ships, it is.
Use it for: social ads with copy baked in, iterating on an existing image, product mockups, anything where “looks decent and says the right words” beats “looks spectacular.”
Skip it for: brand-defining hero imagery or anything that needs to look like it came from a specific illustrator.
Nano Banana (Google)
Fast, cheap, and shockingly good at text. Nano Banana is Google’s answer to GPT-Image, and for certain jobs it’s my default. The iteration speed is what makes it different — when I’m exploring 10 directions for a campaign, Nano Banana runs them in the time GPT-Image finishes two.
Text rendering is genuinely great. I’ve published ads straight from Nano Banana without retouching — the kerning is acceptable, the letterforms hold up at various weights, and the layout logic is sound.
Where it’s weakest: the editorial illustration work I lean on Midjourney for. Nano Banana’s default aesthetic is cleaner than Midjourney’s but also more generic. It produces the 75th-percentile of image quality at the 99th percentile of speed.
Use it for: A/B testing ad creative, social posts at volume, any moment when “generate 20 options and pick 3” matters more than “generate 2 gorgeous options.”
Skip it for: when you want the image to feel distinctly yours.
Higgsfield
Video, not image. Specifically, short-form founder-face and product demo video. Higgsfield has become the default I reach for when I need a 30-second talking-head clip without pulling the founder into a studio.
It’s not perfect. Motion can still look slightly off if you know what you’re looking for. But for the specific job of turning a founder photo plus a script into a usable social clip, nothing else is close on speed or quality right now.
Use it for: founder-face video for Instagram, TikTok, LinkedIn. Product demo video where a talking head isn’t required but would add trust.
Skip it for: long-form anything, complex physical scenes, or work that needs to hold up on a large screen.
The workflow I actually run
Here’s what actually happens in my week, model by model:
Monday (planning). I use GPT-Image to sketch visual directions for the week’s content. Fast, dirty, text-readable comps. Not final art, just a way to think visually fast.
Tuesday-Wednesday (making). Hero images and editorial illustrations go to Midjourney. I run three to five iterations on each, pick one, and sometimes take the Midjourney output into GPT-Image for small text edits or color tweaks. Two-tool handoff is common — Midjourney for aesthetic, GPT-Image for finishing.
Thursday (ads). Ad creative goes to Nano Banana. I generate 20 variants per ad concept, pick 3, A/B test two in market. This is pure volume work and Nano Banana’s speed earns its keep here.
Friday (video). Higgsfield for the week’s short clips. One founder-face talking head, one product clip, ready by end of day.
The key insight: these aren’t competing tools. They’re different tools for different jobs, and the operators who ship the most content have stopped arguing about which is “best” and started assigning each to the job it’s good at.
What to do if you’re picking one
Pick GPT-Image 2. Here’s why: it’s inside ChatGPT, it has the best in-context edit flow, it renders text, and it’s what most people around you will also be using (which means prompt sharing and workflow handoff are easier). The aesthetic ceiling is lower than Midjourney, but the floor is higher, and “higher floor” is what a solo operator needs.
If you’re picking two, add Midjourney. The combination covers the vast majority of marketing visual work a lean team needs to produce, and the two models complement each other cleanly (Midjourney for aesthetic, GPT-Image for iteration and text).
Where this goes in 2026
The real story isn’t any single model winning. It’s that all four are now good enough that the bottleneck is no longer image generation — it’s the prompt and the brief. If you can write a specific, well-structured visual brief, any of these tools will give you usable output. If you can’t, none of them will.
That’s why the tool question matters less than the prompt question. If you want to improve your visual output, improve your prompting before you switch models. I wrote seven of the marketing prompts I use weekly here — the principles translate directly to image generation.
For the broader context on how to run a full AI marketing stack with two people, that’s here.
FAQ
What’s the best AI image generator for marketing in 2026? For one tool: GPT-Image 2 (inside ChatGPT). For two tools: Midjourney for editorial, GPT-Image 2 for everything else. For a full kit: Midjourney + GPT-Image + Nano Banana + Higgsfield.
Is Midjourney still the best? For aesthetic quality on editorial work, yes. For the full range of marketing jobs (ads, text-in-image, product, video), no — it’s one of several tools in a full stack.
What about DALL-E? DALL-E 3 is still fine, but GPT-Image 2 replaced it as OpenAI’s default in ChatGPT. The image model you get when you ask ChatGPT for an image is GPT-Image 2 now.
How much does this cost? Midjourney: ~$30-60/mo depending on tier. ChatGPT (with GPT-Image): $20-25/mo. Nano Banana via Gemini: pay-as-you-go, usually under $20/mo for marketing use. Higgsfield: $20-50/mo. Total: $90-155/mo for the full stack. Under $2k/year.
Can I skip the paid tools and use free models? You can, but the gap in output quality vs. time invested is large. Free models typically require more iteration per image to reach usable quality, and the total time cost usually exceeds the subscription cost after the first week.