Head-to-Head Comparison
DALL-E vs Stable Diffusion
Which Image Generation is right for you? See our complete breakdown.
Feature Comparison
| Feature | DALL-E | Stable Diffusion |
|---|---|---|
| MegaOne Score | 5/10 | 7/10 |
| Category | Image Generation | Image Generation |
| Pricing Model | Freemium | Open Source |
| Starting Price | $20.00/mo | Free / Open Source |
| Free Tier | Yes | Yes |
| API Available | No | No |
| Open Source | No | No |
| iOS App | No | No |
| Android App | No | No |
| Chrome Extension | No | No |
| Company | OpenAI | Stability AI |
| Total Funding | $180.0B | $399M |
Visual Comparison
DALL-E Stable Diffusion
About DALL-E
OpenAI's AI tool generates images from text descriptions, now primarily integrated into ChatGPT and accessible via API.
DALL-E, as a standalone model, was retired on May 12, 2026. Its functionality has been replaced by OpenAI's GPT Image 2, which is the current flagship model for image generation. This system is natively integrated into ChatGPT, allowing users to create and refine images conversationally. It excels in understanding complex prompts, rendering text within images, and enabling iterative refinement through natural language.
About Stable Diffusion
Stable Diffusion is an open-source AI model that generates high-fidelity images from text descriptions and supports various image manipulation tasks.
Stable Diffusion is an open-source, latent diffusion model developed by Stability AI that generates detailed images from text prompts. As of July 2026, its latest flagship model is Stable Diffusion 4 Ultra, built on a diffusion transformer architecture for enhanced photorealism and text rendering. The ecosystem also widely utilizes Stable Diffusion 3.5 (MM-DiT architecture) and SDXL 1.0, offering capabilities like image-to-image translation, inpainting, outpainting, and precise compositional control via ControlNet.
The Verdict
Stable Diffusion takes the edge
With a MegaOne score of 7/10 versus 5/10, Stable Diffusion edges ahead of DALL-E in our analysis. However, DALL-E may still be the better choice depending on your specific use case and budget.
Related Coverage
