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Dall E 2

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Pricing from
Pay-as-you-go
Free Trial unavailable
Free version unavailable
User corporate size
Small
Medium
Large
User industry
  1. Media and communications
  2. Accommodation and food services
  3. Arts, entertainment, and recreation

What is Dall E 2

DALL·E 2 is a text-to-image generation model that creates images from natural-language prompts and supports edits such as inpainting and outpainting. It is used by designers, marketers, and product teams to generate concept art, illustrations, and visual variations for creative workflows. The product is typically accessed through OpenAI’s platform and APIs, enabling integration into applications and content pipelines. It emphasizes prompt-based generation and image editing operations rather than full design-suite functionality.

pros

Text-to-image and editing

DALL·E 2 generates images from text prompts and supports image edits such as inpainting (editing within a masked region) and outpainting (extending an image). These capabilities fit common workflows like concept exploration, background replacement, and iterative variation. The editing functions make it usable beyond one-shot generation when teams need controlled changes.

API-based integration options

OpenAI provides API access that allows developers to embed image generation and editing into internal tools, apps, or automated content workflows. This supports programmatic use cases such as batch generation, templated creative variants, and integration with asset management or approval steps. API access can be a differentiator versus tools that are primarily GUI-first.

Broad prompt-driven creativity

The model supports a wide range of styles and subjects through natural-language prompting, enabling rapid ideation for creative briefs. It is commonly used for early-stage visual exploration where speed and variety matter more than pixel-perfect control. This makes it suitable for teams that need many options before selecting a direction.

cons

Limited layout and brand controls

DALL·E 2 focuses on image generation rather than end-to-end design composition, so it does not provide the same level of layout tools, typography control, or brand-kit governance as design platforms. Teams often need additional software to place generated images into finished marketing or product assets. This can add steps for production workflows.

Output predictability varies

Results can vary significantly with prompt wording, and achieving consistent outputs may require prompt iteration and experimentation. Fine-grained control over exact object placement, text rendering, and precise visual constraints can be challenging. This can be a limitation for use cases that require strict adherence to specifications.

Policy and rights considerations

Use is subject to OpenAI’s content policies and platform terms, which can restrict certain subjects and usage scenarios. Organizations may need internal review for compliance, licensing expectations, and acceptable-use alignment before deploying generated assets. These considerations can slow adoption in regulated or brand-sensitive environments.

Plan & Pricing

Pricing model: Pay-as-you-go (per image, billed via OpenAI API)

Free tier/trial: See notes below

Example costs (DALL·E 2 — Standard quality, per image):

  • 256 × 256 — $0.016 per image
  • 512 × 512 — $0.018 per image
  • 1024 × 1024 — $0.02 per image

Discount options / notes:

  • Rate limits and higher usage tiers increase with spend (OpenAI documents tiered rate limits). No volume/commitment discount details for DALL·E 2 are listed on the official pricing page.

Source: OpenAI official API pricing and model documentation (see citations in submission).

Seller details

OpenAI, Inc.
San Francisco, CA, USA
2015
Private
https://openai.com/
https://x.com/OpenAI
https://www.linkedin.com/company/openai/

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