Head-to-Head Comparison

DALL-E vs Imagen

Which Image Generation is right for you? See our complete breakdown.

DALL-E

6/10 Visit DALL-E
VS

Imagen

8/10 Our Pick Visit Imagen
FeatureDALL-EImagen
MegaOne Score6/108/10
CategoryImage GenerationImage Generation
Pricing ModelFreemiumPaid Only
Starting Price$15.00/mo$0.02/mo
Free TierYesNo
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanyOpenAIGoogle DeepMind
Total Funding$180.0B$500M

Visual Comparison

Score Reach Value Team Funding Reviews
DALL-E Imagen

About DALL-E

DALL-E, now integrated as ChatGPT Images 2.0, generates realistic images and art from natural language descriptions.

DALL-E, originally a standalone AI image generator, has been discontinued and replaced by 'ChatGPT Images 2.0', powered by the gpt-image-2 API model. This tool creates realistic images and art from natural language prompts, understanding conversational context for nuanced interpretations. It also offers capabilities for realistic image editing, expanding compositions beyond the original canvas, and generating variations inspired by existing images.

About Imagen

Imagen is Google DeepMind's advanced text-to-image generation model, creating photorealistic images with high detail and accurate text rendering from natural language prompts.

Imagen 4, the latest iteration of Google DeepMind's text-to-image model, excels at generating highly photorealistic and detailed images, significantly improving upon previous versions in areas like lighting, texture, and artifact reduction. It is particularly noted for its industry-leading ability to render accurate and legible text within generated images, a common challenge for AI image generators. The model is integrated into Google's ecosystem, including ImageFX, Gemini, and Vertex AI, making it accessible for both developers and consumers.

Imagen takes the edge

With a MegaOne score of 8/10 versus 6/10, Imagen 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.