Quick Answer
As of 2026-04-25, use Midjourney when visual taste matters most, ChatGPT Images when you need conversation, edits, or readable text, Adobe Firefly when the work sits inside an Adobe or commercial review workflow, and Gemini Nano Banana when you want low-friction multimodal generation or API-first image iteration.
Short version:
| Need | Best starting point | Why |
|---|---|---|
| Editorial hero images, concept art, mood boards | Midjourney | Strong default composition, lighting, and style direction |
| Posters, mockups, diagrams, images with text | ChatGPT Images / DALL-E | Best natural-language iteration and stronger text rendering |
| Client work with copyright review | Adobe Firefly | Adobe-first workflow, licensed-training positioning, plan-dependent IP protection |
| Fast chat-based generation or API experiments | Gemini Nano Banana | Multimodal context, reference-image workflow, competitive API pricing |
| Lowest-cost learning path | ChatGPT, Gemini app/AI Studio, or Firefly free access | Free quotas change often; use them to test, not to plan production volume |
Usage rights and copyright are separate. A tool may allow commercial use under its terms, while copyright registration still depends on human authorship and local law.
April 2026 Updates to Know
| Area | What changed | Why it matters |
|---|---|---|
| OpenAI | ChatGPT Images 2.0 is the current ChatGPT image experience, and OpenAI's API docs now list gpt-image-2, gpt-image-1.5, and gpt-image-1. |
"DALL-E" remains a useful search term, but the current OpenAI workflow is ChatGPT Images plus the GPT Image API. |
| Midjourney | Midjourney's docs list Basic, Standard, Pro, and Mega plans, and its version docs include V8.1 Alpha / HD references. | Midjourney is still the art-direction pick, but preview features should not be treated as stable production defaults. |
| Adobe Firefly | Firefly now positions Adobe Firefly Image 5 and Adobe/partner models inside the Firefly app; Adobe also announced a Firefly AI Assistant direction in April 2026. | Firefly is no longer just a text-to-image page; it is becoming an Adobe creative workspace with model choice. |
| Google Gemini | Google's image docs list Gemini 3 Pro Image Preview, Gemini 3.1 Flash Image Preview, and Gemini 2.5 Flash Image, with reference-image workflows and SynthID watermarking. | Gemini is strongest when the prompt depends on conversation, uploaded images, or API automation. |
| Copyright | The U.S. Copyright Office's 2025 AI report keeps the focus on human authorship, not on which model was used. | Commercial permission from a vendor does not automatically make a raw AI output copyrightable. |
Side-by-Side Comparison
| Tool | Best for | Access | Paid starting point | Main limitation |
|---|---|---|---|---|
| Midjourney | Artistic images, cinematic concepts, character style exploration | Midjourney web, Discord, alpha web features | $10/mo Basic; $30/mo Standard; $60/mo Pro; $120/mo Mega | Less predictable for exact layout, typography, and fine-grained brand rules |
| ChatGPT Images / DALL-E | Prompt refinement, image edits, readable text, quick mockups | ChatGPT, DALL-E GPTs, Images API | ChatGPT paid plans for heavier use; API pricing varies by model, size, and quality | Can look too polished or generic unless you add concrete art direction |
| Adobe Firefly | Adobe users, brand-safe drafts, Photoshop/Illustrator extension | Firefly web app, Photoshop, Illustrator, Adobe Express | Firefly Standard starts at $9.99/mo in the U.S.; credit quotas vary by plan | Commercial safety depends on model, feature, beta status, and plan eligibility |
| Gemini Nano Banana | Conversational generation, reference images, automation | Gemini app/web, Google AI Studio, Gemini API, Vertex AI | Consumer/AI Studio access may be free; current Gemini API image rows show no free tier and start around $0.039/image for Gemini 2.5 Flash Image | Some image models are preview; style controls are lighter than Midjourney parameters |
Tool Notes
Midjourney
Midjourney remains the best default choice for images where taste matters more than exact compliance. It tends to produce stronger lighting, depth, color, and composition from short prompts. Use it for concept art, editorial covers, social visuals, game mood boards, and any workflow where you can choose from multiple candidates.
Useful controls:
--ar 16:9or--ar 4:5to lock the composition ratio before you iterate.--seed 1234when you want repeatable composition variants.--oreffor V7 Omni Reference when character/object consistency matters; use--crefonly when you intentionally work in V6/Niji 6. Use--sreffor style reference.--style rawwhen Midjourney's default look feels too stylized.
Avoid Midjourney as the first tool when the output must contain exact text, exact UI labels, legal disclaimers, or a precise product layout. It can get close, but you should budget time for retries and post-processing. If a company grosses more than $1,000,000/year, Midjourney's commercial-use note says Pro or Mega is required for company commercial use.
ChatGPT Images / DALL-E
For most users, "DALL-E" now means using image generation inside ChatGPT. The current advantage is not only the model; it is the conversation around the model. You can describe a messy requirement, ask ChatGPT to tighten the prompt, generate an image, then request specific edits without rebuilding the whole prompt from scratch.
Use ChatGPT Images when:
- The image needs readable short text, labels, or signs.
- You want a non-designer to iterate in natural language.
- You need to edit a region of an existing image.
- You want API access through OpenAI's Images API.
OpenAI's current image API guide lists multiple GPT Image models. As a cost anchor, gpt-image-2 examples start around $0.006 for a low-quality 1024 square image and can be much higher for high-quality output. Treat API image generation as a production cost, not as an unlimited background task.
Adobe Firefly
Firefly is the safest starting point when the reviewer is a legal team, a brand team, or an Adobe-heavy design team. Adobe positions its own Firefly models as commercially safe, and the app also exposes partner models. That distinction matters: not every model or beta feature carries the same usage, indemnity, or training-data story.
Use Firefly when:
- You already finish work in Photoshop, Illustrator, Adobe Express, or Creative Cloud.
- You need Generative Fill, Generative Expand, vector-style workflows, or brand-review-friendly drafts.
- The client asks how the model was trained or whether IP protection is available.
Pricing now revolves around generative credits. Adobe's public U.S. Firefly plans list Standard, Pro, Pro Plus, and Premium tiers, while Creative Cloud plans include different credit allowances. Check the exact plan before promising a monthly image volume.
Gemini Nano Banana
Gemini is best when image generation is part of a conversation rather than a one-off prompt. Google's docs list Gemini 3 Pro Image Preview, Gemini 3.1 Flash Image Preview (Nano Banana 2), and Gemini 2.5 Flash Image (Nano Banana). The API supports reference-image workflows, and generated images include SynthID watermarking.
Use Gemini when:
- You want to upload reference images and discuss changes in one thread.
- You need API-first generation with clear per-image pricing.
- You are building a workflow where text, images, and reasoning sit in the same context.
Pricing is competitive for experiments: official examples list Gemini 2.5 Flash Image at about $0.039/image, Gemini 3.1 Flash Image Preview around $0.067/image, and Gemini 3 Pro Image Preview around $0.134 for 1K/2K images or $0.24 for 4K. The current Gemini API pricing table marks these image-generation rows as not available in the free tier; Google AI Studio and consumer Gemini access are separate. Preview labels mean you should re-check availability before shipping a production workflow.
Prompt Structure That Still Works
Use this base structure for all four tools:
[subject] + [scene] + [style] + [lighting] + [camera/composition] + [constraints] + [output format]
Example for a blog hero image:
Create a 16:9 editorial hero image for an article about cloud cost audits.
Subject: a small engineering team reviewing a glowing dashboard at night.
Style: cinematic but realistic, not cartoon, no corporate stock-photo smiles.
Lighting: cool monitor light with one warm desk lamp.
Composition: leave empty space on the right third for a headline.
Constraints: no logos, no readable text, no distorted hands.
Output: high-detail web hero image.
For images with text, reduce the amount of text and quote it exactly:
Create a clean product announcement card. Put exactly this text on the card:
"SPRING LAUNCH" and "30% OFF". Use large sans-serif type, centered layout,
plain cream background, no other words.
For Midjourney, add parameters after the visual description:
editorial portrait of a robotics designer in a small Tokyo studio, warm task light,
35mm documentary photography, natural skin texture, realistic workspace --ar 4:5 --style raw --seed 1872
For ChatGPT or Gemini with uploaded references, describe what to keep and what to change:
Use the uploaded product photo as the exact object reference. Keep the shape,
material, and color. Replace only the background with a soft morning kitchen scene.
Do not add labels, logos, extra buttons, or new packaging text.
Common Failure Modes
- Exact typography: ChatGPT Images is best among the four, but long sentences, small UI text, and multilingual text still need manual checks.
- Precise spatial logic: "Three red cubes exactly 2 cm apart" is still unreliable. Use a design tool for exact layouts.
- Complex groups: More people, more hands, more props, and more specified poses usually mean more artifacts.
- Brand and character reproduction: Do not ask for exact logos, living artists' protected styles, or copyrighted characters when the work is commercial.
- Raw output as final work: Treat generated images as drafts. Cleanup in Photoshop, Figma, Canva, or another editor is still normal.
Commercial Use and Copyright
As of 2026-04-25, the practical rule is: check the tool's terms for commercial permission, then treat copyright ownership as a separate legal question.
| Tool | Commercial use direction | Copyright risk note |
|---|---|---|
| Midjourney | Paid plans generally allow commercial use under Midjourney terms; companies over $1,000,000/year need Pro or Mega for company commercial use. | The output may still need human editing before it has protectable authorship. |
| ChatGPT Images / DALL-E | OpenAI generally assigns rights to outputs to users subject to its terms and policies. | Rights assignment does not guarantee copyright registration. |
| Adobe Firefly | Adobe's Firefly models are positioned for commercial use; indemnity depends on plan, feature, and eligibility. | Partner models and beta features may have different rules. |
| Gemini Nano Banana | Google's terms and model documentation govern output use; SynthID watermarking may be present. | Preview models should be re-checked before production use. |
The U.S. Copyright Office says copyright analysis turns on human authorship. Prompting a model is not automatically enough; selecting, arranging, editing, painting over, compositing, or otherwise adding original human expression can matter. For client work, keep the prompt, source files, edits, and license screenshots in the project folder.
Choosing the Right Tool
| Scenario | Recommendation |
|---|---|
| "I need a polished hero image by today" | Midjourney, then clean up in an editor |
| "I need a graphic with exact short text" | ChatGPT Images first; verify every letter manually |
| "The client cares about training data and indemnity" | Adobe Firefly, using eligible Adobe models and a suitable plan |
| "I need consistent characters across a series" | Midjourney V7 with Omni Reference (--oref), V6/Niji 6 with --cref, or Firefly/ChatGPT with reference images plus manual QA |
| "I need an API for an app prototype" | Gemini Nano Banana for cost/context, or OpenAI Images API for stronger instruction following |
| "I need to edit part of an existing image" | Photoshop + Firefly, or ChatGPT Images editing if you want a chat workflow |
| "I am just learning" | Start with ChatGPT or consumer Gemini/AI Studio access, then pay only when you hit quality or quota limits |
FAQ
Is DALL-E still the right name?
Users still search for DALL-E, but OpenAI's current user-facing workflow is ChatGPT Images, with DALL-E GPTs still available inside ChatGPT. For API work, use the current GPT Image model names from OpenAI's documentation.
Which AI image generator is best for commercial client work?
Adobe Firefly is the safest first stop when the client's concern is training data, brand review, and indemnity. Confirm that the exact model, feature, and plan are eligible before promising legal protection.
Which tool is best for text inside images?
ChatGPT Images is the best starting point for short readable text. Keep the text short, quote it exactly, and check the final image manually. None of these tools should be trusted for legal copy, nutrition labels, or long UI screens without human review.
Which tool has the best API?
Gemini is attractive for cost and multimodal context. OpenAI is attractive for instruction following and ChatGPT-adjacent editing workflows. Choose based on the app: low-cost iteration favors Gemini; complex natural-language editing favors OpenAI.
Can AI-generated images be copyrighted?
In the U.S., raw AI output is not automatically copyrightable. Human authorship is the key test. If you substantially edit, arrange, composite, or paint over the output, the human-created parts may be protectable, but the analysis is fact-specific.
Verification Note
Pricing, model names, access methods, commercial-use notes, and copyright guidance were checked on 2026-04-25 against official sources: Midjourney Plans, commercial-use note, Character Reference, and Omni Reference, OpenAI ChatGPT Images 2.0, Images API guide, and Terms of Use, Adobe Firefly, Firefly AI Assistant, and generative credits FAQ, Google Gemini image generation and pricing, and the U.S. Copyright Office AI copyrightability report.