Best AI Image Generator in 2026: Models, Tools & Rights Compared
Written with AI assistance, then fact-checked and approved by Thomas Lovas Lokoy.
Last updated: October 2026
The short answer: pick by the job and by the terms, not by a gallery. Midjourney is built for image quality and style and lets paying subscribers use outputs commercially, but a company with more than $1 million a year in revenue must be on its Pro or Mega plan to own its images, and Stealth Mode, which keeps images private, exists only on those two plans. Adobe Firefly says outputs from its non-beta features can go into commercial projects. OpenAI’s terms assign you whatever rights it has in your output. PixVerse’s terms limit outputs to non-commercial use unless you get separate permission. Those four positions, quoted from each company’s own pages on 16 October 2026, are set out below with a cost example, then the six requirements that decide which tool fits your work.
The usual version of this article ranks the three or four big generators against each other and declares a winner. We are not going to, and the reason is practical rather than principled: model versions in this category ship every few weeks, and a ranking written against a specific version is wrong within a quarter while continuing to look authoritative. We have watched enough "definitive" comparisons age badly to stop writing them.
What does not go stale is the set of requirements that actually decide which tool you should use, and the questions — particularly about rights — that most comparisons skip entirely. That is what this page is for.
Six Requirements That Actually Decide It
Ask which of these you need before you look at a single sample gallery. Almost nobody needs all six, and the one you need most narrows the field faster than any quality comparison.
1. Legible text inside the image. Signage, packaging mock-ups, posters, anything with a word in it. This has historically been the hardest thing for image models and it is still the fastest way to tell candidates apart. Test it with your own words, in your own font style, at your own length — short words in large type is the easy case and it is what every demo shows.
2. Consistency across a set. The same character, product or visual style across ten images. A single striking image is a low bar; ten that look like they came from one campaign is a different capability, and it is what separates a toy from a production tool. If you are making a series, test the series.
3. Editing rather than regenerating. Can you change one region and keep the rest? Regenerating until the whole image is right is a fundamentally worse workflow than fixing the hand and keeping the face, and the difference compounds across a project.
4. Output resolution and what it is for. Screen use forgives a great deal. Print does not, and neither does anything that will be cropped or enlarged. Establish the native output size and whether upscaling is part of the pipeline or an afterthought.
5. Reproducibility. Can you get back to an image you made last month — is the prompt, the seed and the settings stored, and does re-running produce the same result? This matters enormously in commercial work and is invisible until the client asks for "the same but wider".
6. The licence. Covered below, because it deserves its own section and because it is the one that can actually cost you.
The Rights Question, and How to Answer It Properly
Be suspicious of articles that paraphrase licence terms into a tidy table. Terms differ by product, by plan tier and by whether your account is personal or business; they change; and a paraphrase is a legal summary written by people who are not your lawyers. So rather than summarise, here is what four generators’ own documents say, quoted where we could read the text directly, with the date we read it.
- Midjourney (Terms of Service, version effective 27 May 2026, read 16 October 2026). Ownership: “You own all Assets You create with the Services to the fullest extent possible under applicable law”, with exceptions — among them, “If you are a company or any employee of a company with more than $1,000,000 USD a year in revenue, you must be subscribed to a ‘Pro’ or ‘Mega’ plan to own Your Assets.” Visibility: “By default, Your Content is publicly viewable and remixable.” Licence back: you grant Midjourney a perpetual, worldwide, irrevocable copyright licence over your inputs and the assets you produce, which survives termination.
- Adobe Firefly (Firefly FAQ, read via search 16 October 2026). Adobe says outputs from features without the beta label can be used in commercial projects, and beta outputs too unless the product explicitly says otherwise. Adobe’s guidance separates its own Firefly models from third-party partner models available in its apps: for partner-model outputs, you are responsible for checking that model’s terms. Adobe also applies Content Credentials automatically to certain exports of Firefly outputs.
- OpenAI (Terms of Use, read via search 16 October 2026). You keep your rights in your input, and OpenAI assigns to you its rights in the output, to the extent applicable law allows. The terms also warn that output may not be unique: other users may receive similar output.
- PixVerse (Terms of Service, section 4.1, read 16 October 2026). “We do not claim ownership of the Outputs”, but “Your use of the Outputs is limited to non-commercial purposes” unless you obtain separate authorisation or a commercial-use licence from the relevant rights holders, and the clause does not distinguish free from paid users.
Four companies, four different answers to “can I sell this?”: conditional on plan and company size, yes for non-beta features, yes by assignment, and not without separate permission. None of them is a substitute for reading the current document yourself on the day you decide.
What an Image Costs: A Worked Example on Midjourney’s Published Plans
Midjourney is the one generator here that publishes its compute allowance in plain units. Its plan comparison, read on 16 October 2026, lists Basic at $10 a month with 3.3 hours (200 minutes) of Fast GPU time, Standard at $30 with 15 hours, Pro at $60 with 30 hours and Mega at $120 with 60 hours. Annual billing is 20% cheaper ($96, $288, $576 and $1,152 a year), and extra Fast time costs $4 an hour on every plan. Standard and above add unlimited image generation in the slower Relax Mode.
That makes a Fast GPU minute cost 5 cents on Basic ($10 ÷ 200), about 3.3 cents on Standard ($30 ÷ 900 minutes), and about 6.7 cents as a top-up ($4 ÷ 60). Midjourney charges by GPU time rather than by image, so the cost of a finished image is the minutes it took you to get there, including every rejected attempt. A campaign that needs 40 attempts for 10 usable images costs the GPU time of all 40. That is why the attempts-to-usable count in the test below is the number to measure, and why Relax Mode on Standard changes the maths for anyone who can wait.
What is portable is the list of questions to take to the terms yourself, and to your own legal advice where the stakes justify it:
- Does your plan permit commercial use at all? Free and lower tiers frequently do not, and this is the single most common expensive misunderstanding in the category.
- Who owns the output? Assignment to you, a licence to use, and a licence that survives cancellation are three different things.
- Is your output exclusive? Generally not. Someone else can produce something very similar, and in some products your generations are visible to other users by default.
- Can it be registered or trademarked? Whether a machine-generated image attracts copyright protection is a live and jurisdiction-dependent question. If your image is going to be a logo, this is a conversation with a lawyer, not with a comparison article.
- Is there any indemnity? Some enterprise tiers offer protection if an output is alleged to infringe. Most consumer tiers do not, and that risk sits with you.
- What happens if you stop paying? Does your licence to use already-generated images continue, and can you still download your history?
None of this is a reason to avoid generated imagery. It is a reason to read six paragraphs of terms before a logo, a product package or a paid campaign depends on one.
Disclosure and Provenance: This Is Now a Rule, Not a Debate
A separate strand from licensing, and the one that has changed most recently. Whether an image is identifiable as machine-generated has moved from an ethics discussion to a compliance question with dates attached.
The industry mechanism is the Coalition for Content Provenance and Authenticity, whose own description of itself is that it "provides an open technical standard for publishers, creators and consumers to establish the origin and edits of digital content", and that "Content Credentials function like a nutrition label for digital content, giving a peek at the content's history available for anyone to access, at any time" (c2pa.org, checked 6 September 2026). Its steering committee is not a fringe group — Adobe, Amazon, the BBC, Google, Meta, Microsoft, OpenAI, Sony and TikTok are all listed on it.
The honest engineering limitation, which the standard does not hide: this is metadata attached to a file, and metadata is fragile in ordinary use. Re-encoding an image, screenshotting it, or uploading it to a platform that strips metadata will remove the credential, with no indication to anyone downstream. Provenance signalling is a good-faith mechanism for cooperative pipelines, not a detection system, and absence of a credential proves nothing at all.
The legal side is more concrete, and it is worth reading the actual wording rather than a summary of it. The EU AI Act, Article 50(2), places the obligation on the tool's makers rather than on you:
Providers of AI systems, including general-purpose AI systems, generating synthetic audio, image, video or text content, shall ensure that the outputs of the AI system are marked in a machine-readable format and detectable as artificially generated or manipulated.
Article 50(4) then places an obligation on the person publishing: "Deployers of an AI system that generates or manipulates image, audio or video content constituting a deep fake, shall disclose that the content has been artificially generated or manipulated." For systems already on the market, the amended Article 111(4) sets the deadline for providers to meet the marking requirement at 2 December 2026.
Two caveats we will not blur. This is the EU's regulation and it governs the EU market — whether and how it reaches you depends on where you and your users are, and that is a question for your own legal advice rather than for a comparison article. And the text above is quoted from the Regulation as amended, checked at the Publications Office on 6 September 2026; this area is being actively amended and a summary written a year ago may already name superseded dates.
Generation Is About a Fifth of the Work
The comparison that matters is rarely between generators. It is between the generated image and the finished asset, and the gap between them is where projects actually run late.
A usable production image typically needs the background removed or replaced, a colour treatment matched to the rest of a set, cropping to several aspect ratios, retouching of the region the model got slightly wrong, and compression for the web. None of that is generation, all of it is required, and a tool that generates beautifully but hands you a single flat file with no editing path may cost you more total time than one with a duller gallery and a better workflow.
This is where the specialist tools earn their place beside the generator: PicWish handles background removal and photo cleanup, Retouch4me covers retouching, and PixVerse GPT Image 2.5 handles generation and precise edits from text and image references — for drafts and personal projects, given the non-commercial clause in PixVerse’s terms quoted above. Where a project needs a mix of generated and licensed material — which is most projects — a stock and template library such as Envato Elements covers the parts generation is bad at.
A Test That Takes an Afternoon and Beats Any Ranking
Pick five prompts from work you have actually done or will actually do. Not "an astronaut riding a horse" — the thing your client asked for last month. Then run all five through every candidate on the same day, and judge on this:
- How many attempts to a usable image? The single most predictive number, and the one no gallery shows you. A tool that needs fifteen tries is not cheaper than one that needs three, whatever the sticker says.
- How far off is the near-miss? An image that is nearly right and editable beats a striking image that is wrong in an unfixable way.
- Does it follow instructions or ignore them? Specify a count, a position, a colour and a piece of text. Check all four. Prompt adherence is a more useful axis than aesthetics and is discussed far less.
- Can you produce a matching second image? Run the consistency test properly — same subject, different pose or angle.
- How much editing did the winner still need? Time it. That number is the real cost of the tool.
Do this once and you will have a better-founded opinion than any article, including this one, because it is measured on your work rather than someone else's demo set.
When Generation Is the Wrong Tool
Worth stating plainly on a page that links to generation products.
Anything depicting a real product you sell should be a photograph of that product. A generated approximation of your own item is a misrepresentation, and in a commercial context that is a consumer-protection question rather than a creative one. Anything depicting a real person needs that person's permission, and synthesising a likeness without it is a serious problem regardless of how good the image is. Anything evidencing a factual claim — a place, an event, a result — must be a real photograph, because an illustration presented as evidence is a fabrication whatever tool made it.
And for many jobs, licensed stock is simply faster and lower-risk: cleared rights, predictable quality, no generation lottery. The category has spent two years arguing that AI replaces stock. In practice most working teams use both, for different jobs.
What We Have Deliberately Left Out
No price league table. This article previously carried per-tool monthly figures and they were removed rather than updated, because AI pricing changes faster than an article can be maintained and a stale price is worse than none — it is the one thing a reader acts on. The one exception is the Midjourney worked example above, which is dated and there to show the method: price per unit of compute, multiplied by the attempts you actually need. Check the vendor’s own pricing page on the day you decide.
No model version names, for the same reason. And no benchmark scores: image quality benchmarks in this category are either vendor-run or based on small preference panels, and neither survives being quoted as fact. Your five prompts are better evidence than any of them.
Disclosure: this article contains affiliate links. If you buy through them we may earn a commission at no extra cost to you. It does not change what we recommend, and no vendor has paid for a position in it.
Frequently Asked Questions
Can I use Midjourney images commercially?
Midjourney’s plan page says that if you have subscribed at any point you can use your images in just about any way you want, but a company with more than $1 million a year in gross revenue must be on the Pro or Mega plan. Its terms also say images are publicly viewable and remixable by default unless you use Stealth Mode, which only Pro and Mega include.
Are Adobe Firefly images safe for commercial use?
Adobe’s FAQ says outputs from Firefly features without a beta label can be used commercially, and beta outputs too unless the product says otherwise. Outputs from third-party partner models inside Adobe’s apps are different: Adobe says you must check that model’s own terms.
Who owns an image I make with ChatGPT?
OpenAI’s Terms of Use assign its rights in the output to you, to the extent the law allows, while warning that other users may receive similar output. Whether a machine-made image can be protected by copyright at all depends on where you are.
Do AI images have to be labelled?
In the EU, Article 50 of the AI Act requires providers to mark outputs in a machine-readable way, and requires anyone publishing a deep fake to disclose it; the marking deadline for systems already on the market is 2 December 2026. Rules elsewhere differ, so check the law where you and your audience are.
How much does Midjourney cost per image?
Midjourney charges by GPU time, not per image. On its published plans a Fast GPU minute works out at 5 cents on Basic and about 3.3 cents on Standard, so the cost of an image is the GPU time of every attempt it took to get there.
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