OpenAI Image API Pricing Calculator
Estimate your 2026 API costs for OpenAI’s image generation models. Calculate spend based on model selection, quality tiers, and daily generation volume for DALL-E 3, DALL-E 2, and gpt-image-1.
Image API Estimator
Project your monthly generation spend
gpt-image-1 offers native editing; DALL-E 3 is best for vivid artwork.
Higher quality and larger resolutions increase the per-image cost.
How many images do you generate per day?
Projected API Costs
Monthly spend breakdown
Enter your expected daily image generations, quality tier, and model selection, then click Estimate to see your projected API costs.
Image Generation Models Overview
Capabilities and best use cases for the 2026 OpenAI image model lineup.
| Model | Key Capabilities | Best For |
|---|---|---|
| gpt-image-1 | Native editing, precise text rendering, multi-aspect | Design workflows, marketing assets, image manipulation |
| DALL-E 3 | High prompt adherence, vivid artistic details | Creative artwork, conceptual illustrations, complex scenes |
| DALL-E 2 | Fast generation, cost-effective, basic inpainting | Rapid prototyping, high-volume basic generation, thumbnails |
OpenAI Image API FAQ
Everything you need to know about estimating and optimizing your image generation costs.
The OpenAI Image API allows developers to generate, edit, and manipulate images programmatically using AI models like DALL-E 3, DALL-E 2, and the newer gpt-image-1. It is widely used for creating artwork, marketing assets, and integrating visual generation into applications.
The API is priced on a per-image basis. The cost depends on the model you choose (e.g., DALL-E 3 vs. gpt-image-1), the image resolution (e.g., 1024×1024 vs. 1792×1024), and the quality tier (Standard, HD, Low, Medium, or High). You are billed for each successfully generated image.
DALL-E 3 is optimized for high prompt adherence and vivid, artistic details, making it great for creative tasks. gpt-image-1 is a newer model designed for native image editing, precise text rendering within images, and multi-aspect ratio generation, offering more flexibility for design workflows.
Higher resolutions and quality tiers cost more per image. For example, generating an HD quality image or a larger aspect ratio (like 1792×1024) will cost significantly more than a Standard 1024×1024 image. Choosing the right balance of quality and size for your use case is key to managing costs.
To reduce costs, use DALL-E 2 or lower quality tiers for rapid prototyping and internal testing. Only use HD or High-quality settings for final production assets. Additionally, cache generated images locally or in your database to avoid regenerating the same prompts multiple times.