Aggregate Rating
4.2/5 stars (based on 70+ verified reviews across the internet)
Midjourney: Version 7 delivers sharper fine detail in eyes, reflections, and small background elements plus closer prompt adherence, and its Omni Reference feature keeps a character or subject consistent across generations. Access runs mainly through Discord or a web app rather than a public developer API. Its Style Reference system and Style Creator tool build reusable custom house styles aimed at illustrative aesthetic quality.
Adobe Firefly: Its commercial models are trained only on Adobe Stock, openly licensed, and public-domain content, and enterprise customers can buy contractual IP indemnification for generated output. That full indemnification is gated behind Firefly for Enterprise and Creative Cloud for enterprise entitlements rather than included for everyone. Firefly is built directly inside Photoshop, Illustrator, Adobe Express, and Firefly Services APIs as an embedded step in an existing production pipeline.
Google Imagen (Imagen 4): Imagen 4 improves text rendering with better spelling, longer strings, and new layouts suited to comics and packaging, and adds an ultra-fast mode running up to 10x faster than the prior model at up to 2K resolution. Weaknesses remain in factual accuracy for complex compositions and precise object centering. Distribution sits inside the Gemini app and API, Vertex AI, and Google Workspace apps such as Docs and Slides.
Stable Diffusion (SD 3.5): The release shows strong prompt adherence across 3D, photography, painting, and line art with diverse representation without extensive prompting, using Query-Key Normalization for customizability. That intentional diversity means greater variation from identical prompts, and vague prompts can yield unpredictable quality. Its fully open-weight release downloads from Hugging Face and GitHub under the Stability AI Community License, allowing self-hosting, fine-tuning, and offline use.
What is OpenAI DALL-E and GPT Image?
DALL-E and GPT Image are OpenAI's family of text-to-image models that generate and edit original images from natural-language prompts, available inside ChatGPT and through the OpenAI API.
How much does ChatGPT image generation cost per month?
Image generation is bundled into ChatGPT tiers: Free at $0, Go at $8/month, Plus at $20/month, Pro at $100 or $200/month, and Business at $25/user/month billed monthly.
What does the GPT Image API cost to use?
Per 1M tokens, gpt-image-2 costs $8.00 input and $30.00 output, gpt-image-1.5 costs $8.00 and $32.00, and gpt-image-1-mini costs $2.50 and $8.00, each with a 50% Batch discount.
When are DALL-E 2 and DALL-E 3 retired?
Both DALL-E 2 and DALL-E 3 are removed from the API on May 12, 2026, after a deprecation announced November 14, 2025, with the gpt-image family as the successor.
What image sizes and formats does it support?
gpt-image-2 accepts a maximum edge of 3840px and aspect ratios up to 3:1, with presets from 1024x1024 to 3840x2160, and outputs PNG, JPEG, or WebP.
How are generated images marked as AI content?
Images from ChatGPT, the API, and Codex carry a C2PA Content Credentials manifest and an invisible SynthID watermark from Google DeepMind, verifiable through OpenAI's public verification tool.
Does OpenAI train on API image data?
Data sent to the OpenAI API is not used to train its models unless a customer opts in, a policy in effect since March 1, 2023.
Can generated images be edited after creation?
The API supports mask-based inpainting, where a marked region under 50MB with an alpha channel is regenerated from the prompt, plus up to 4 reference images for consistency.