ModelsSupportEnterpriseBlog
500+ AI Model API, All In One API.Just In CometAPI
Models API
Developer
Quick StartDocumentationAPI Dashboard
Resources
AI ModelsBlogEnterpriseChangelogAbout
2025 CometAPI. All right reserved.Privacy PolicyTerms of Service
Home/Models/OpenAI/dall-e-3
O

dall-e-3

Per Request:$0.016
New version of DALL-E for image generation.
New
Commercial Use
Overview
Features
Pricing
API

Technical Specifications of dall-e-3

SpecificationDetails
Model IDdall-e-3
Model typeImage generation model
Primary modalityText input → image output
Supported endpoint/images/generations
Input prompt limitUp to 4000 characters
Output countn=1 only
Supported sizes1024x1024, 1792x1024, 1024x1792
Quality optionsstandard, hd
Response formatsurl, b64_json
URL validityReturned image URLs are valid for 60 minutes
Best use caseHigh-quality image generation from detailed text prompts

What is dall-e-3?

dall-e-3 is OpenAI’s newer DALL·E image generation model, designed to create images from natural-language prompts with stronger prompt understanding, improved detail, and better text rendering in images than earlier DALL·E versions. It supports portrait, landscape, and square outputs, and is especially useful for users who want visually rich results from descriptive prompts.

This model is intended for image generation workflows where the input is text and the output is a generated image. It is available through the image generation API and is commonly used for marketing mockups, concept art, illustrations, product visuals, and other creative generation tasks.

Main features of dall-e-3

  • Improved prompt understanding: dall-e-3 is built to follow complex and descriptive prompts more accurately, helping generate results that better match user intent.
  • Higher-detail image generation: It produces more detailed visuals than older DALL·E models, making it suitable for polished creative outputs.
  • Text rendering in images: The model is better at generating readable text inside images, which is useful for posters, signs, labels, and similar designs.
  • Multiple aspect ratios: It supports square, portrait, and landscape image sizes, allowing more flexibility for different design and publishing needs.
  • Simple API usage: The model can be called by setting the model parameter to dall-e-3 in image generation requests.
  • Base64 or hosted URL output: You can retrieve results either as a temporary hosted image URL or as b64_json for direct downstream processing.
  • Quality controls: standard and hd quality options let developers balance speed and output quality depending on the use case.

How to access and integrate dall-e-3

Step 1: Sign Up for API Key

To get started, sign up on CometAPI and create your API key from the dashboard. After generating the key, store it securely and use it to authenticate requests to the dall-e-3 API. This key is required for all integration methods, including REST, SDK, and platform-based deployments.

Step 2: Send Requests to dall-e-3 API

Once you have your API key, send a request to the image generation endpoint and specify dall-e-3 as the model.

curl --request POST \
  --url https://api.cometapi.com/v1/images/generations \
  --header "Authorization: Bearer $COMETAPI_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "dall-e-3",
    "prompt": "A cinematic futuristic city skyline at sunset with flying cars and neon reflections",
    "size": "1024x1024",
    "quality": "hd",
    "response_format": "url"
  }'

Step 3: Retrieve and Verify Results

After submission, the API returns the generated image result for dall-e-3. Verify that the response contains the expected output format, such as a hosted image URL or base64 payload, then store, render, or pass the result into your application workflow. Be sure to validate the response structure and handle temporary URL expiry where applicable.

Features for dall-e-3

Explore the key features of dall-e-3, designed to enhance performance and usability. Discover how these capabilities can benefit your projects and improve user experience.

Pricing for dall-e-3

Explore competitive pricing for dall-e-3, designed to fit various budgets and usage needs. Our flexible plans ensure you only pay for what you use, making it easy to scale as your requirements grow. Discover how dall-e-3 can enhance your projects while keeping costs manageable.
Comet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
Per Request:$0.016
Per Request:$0.02
-20%

Sample code and API for dall-e-3

Access comprehensive sample code and API resources for dall-e-3 to streamline your integration process. Our detailed documentation provides step-by-step guidance, helping you leverage the full potential of dall-e-3 in your projects.

More Models

G

Nano Banana 2

Input:$0.4/M
Output:$2.4/M
コア機能の概要: 解像度: 最大4K(4096×4096)、Proと同等。参照画像の一貫性: 参照画像は最大14枚(オブジェクト10件 + キャラクター4件)、スタイル/キャラクターの一貫性を維持。極端なアスペクト比: 1:4、4:1、1:8、8:1を新規追加、縦長画像・ポスター・バナーに最適。テキストレンダリング: 高度なテキスト生成、インフォグラフィックおよびマーケティングポスターのレイアウトに最適。検索機能の強化: Google Search + Image Searchを統合。グラウンディング: 思考プロセスを内蔵、複雑なプロンプトは生成前に推論。
A

Claude Opus 4.6

Input:$4/M
Output:$20/M
Claude Opus 4.6 は、Anthropic の「Opus」クラスの大規模言語モデルで、2026年2月にリリースされた。ナレッジワークや研究ワークフローの主力として位置づけられており、長文脈での推論、多段階の計画立案、ツールの利用(エージェント型ソフトウェアワークフローを含む)、およびスライドやスプレッドシートの自動生成といったコンピュータ操作タスクを強化する。
A

Claude Sonnet 4.6

Input:$2.4/M
Output:$12/M
Claude Sonnet 4.6 は、これまでで最も高性能な Sonnet モデルです。コーディング、コンピューターの利用、長文脈推論、エージェントの計画立案、ナレッジワーク、デザインにわたってモデルのスキルを全面的にアップグレードしました。Sonnet 4.6 は、ベータ版で 1M トークンのコンテキストウィンドウも備えています。
O

GPT-5.4 nano

Input:$0.16/M
Output:$1/M
GPT-5.4 nano は、分類、データ抽出、ランキング、サブエージェントなど、速度とコストが最も重要となるタスク向けに設計されています。
O

GPT-5.4 mini

Input:$0.6/M
Output:$3.6/M
GPT-5.4 mini は、GPT-5.4 の強みを、高スループットのワークロード向けに設計された、より高速で効率的なモデルにもたらします。
A

Claude Mythos Preview

A

Claude Mythos Preview

Coming soon
Input:$60/M
Output:$240/M
Claude Mythos Preview は、当社のこれまでで最も高性能なフロンティアモデルであり、 従来のフロンティアモデルである Claude Opus 4.6 と比べ、多くの評価ベンチマークでスコアが顕著に向上していることを示しています。