Text-to-image tools have converged on a high baseline, so the differences that decide a verdict are no longer "can it make a good picture" but how often it makes one, how precisely you can direct it, and what the finished image costs once you count the retries and the licensing.
We evaluated six tools that a working designer or marketer might actually pay for. Every tool ran the same prompts at the highest quality tier on a paid plan, and the same two reviewers graded the results without seeing which tool produced them. The criteria, the procedures, and each tool's per-criterion marks are below.
How we tested
All six tools were tested between May 12 and May 22, 2026, at the highest quality tier available on a paid plan; scores reflect the versions available in that window. Criteria are weighted toward output quality and reliability, with licensing weighted heavily for any commercial use.
Output Quality
Each tool generated the same 40 prompts spanning close-up portraits, product shots, editorial illustration, and reflective-surface scenes. Two reviewers scored every image blind on a fixed rubric (composition, detail, lighting, absence of artifacts), and we averaged the two scores per prompt.
Accuracy & Reliability
We re-ran the 10 hardest prompts — hands, crowded scenes, and legible in-image text — eight times each and recorded the share of generations that came back usable without a regenerate, counting visible anatomical errors and garbled text as failures.
Control & Editing
For each tool we ran the same five revision tasks (inpaint one region, change a single object, hold a fixed aspect ratio, extend the canvas, and re-color one element) and counted the attempts needed to reach an acceptable result; fewer attempts scored higher.
Licensing Clarity
We read each tool's published terms and confirmed against the maker's documentation how the model was trained, what commercial rights the paid plan grants, and whether the vendor offers indemnification. Documented, indemnified commercial rights scored highest; vague or silent terms scored lowest.
Cost per Usable Image
We priced a month at the tier we tested, then divided by the number of images from the reliability runs we judged usable, to get a real cost per acceptable image rather than a cost per raw generation.
We tested every tool on the same prompts so the differences below come down to the tools, not the briefs. The full battery and the per-criterion marks are above; the notes here cover where the rankings turned.
Why Midjourney still leads
On the hardest prompts in our set, including close-up portraits and scenes with reflective glass, Midjourney v7 produced fewer obvious errors than anything else. It is not the most controllable tool, and that is the reason it is not an automatic pick for every job. If you need to place an element precisely or revise one region of an image, Firefly does that better. But for raw image quality, Midjourney was the clear leader.
When to choose Firefly instead
Firefly is the tool we recommend for work that has to clear a legal review. Adobe trains it on licensed and public-domain material and offers commercial indemnification on paid plans, which is a documented assurance none of the others match. For an agency or an in-house team, that is often worth more than the last few points of photorealism.
What did not make the cut
Three tools fall short of a recommendation for different reasons. Stable Diffusion 3.5 is the most flexible and cheapest option at scale, but its out-of-the-box quality trails the hosted leaders and reaching competitive results takes real setup, so it lands just under the bar for a general recommendation. Ideogram is genuinely good at one thing, text in images, but uneven enough elsewhere that we cannot recommend it as a general generator. Craiyon produced too many artifacts and offered too little licensing clarity to publish from.
Questions Readers Ask
Which AI image generator do you recommend?
We recommend Midjourney v7 for the best out-of-the-box image quality, and Adobe Firefly Image 4 for any work that has to clear a legal review, since it is trained on licensed and public-domain material and backed by Adobe's commercial indemnification on paid plans. Both clear our four-star recommendation threshold, as does DALL·E 3.
What does the star rating mean, and when is a tool Recommended?
Each tool is rated on a five-star scale to the nearest half-star, weighted toward output quality and reliability. We mark a product Recommended only when its overall rating reaches four stars; below that it is marked Not Recommended. Three of the six tools we tested fall short of that bar.
Which tools did not earn a recommendation, and why?
Stable Diffusion 3.5 is the most flexible and cheapest at scale but its out-of-the-box quality trails the hosted leaders and it requires real setup, so it lands just under the bar. Ideogram 2.0 is excellent at legible in-image text but uneven elsewhere. Craiyon produced frequent artifacts and offers no commercial guarantee.
Which tool is the safest choice for commercial and licensed work?
Adobe Firefly Image 4. It was the only tool in our test trained on licensed and public-domain data and backed by Adobe's commercial indemnification on paid plans, and it earned the highest licensing-clarity mark in the field. For agencies and in-house teams, that documented assurance often matters more than the last increment of photorealism.
How often do you re-test, and can a recommendation be withdrawn?
Every verdict is dated and re-run on each major release of the products it covers. These tools change often, so a recommendation can be withdrawn when a rival catches up or a tool regresses; when that happens we update the ranking and state what changed. This verdict reflects the versions available between May 12 and May 22, 2026.
