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Image generation — which AI model for which type of image?

Image generation splits today: dedicated diffusion models (Imagen, Flux) deliver top detail quality, while multimodal LLMs (Gemini, GPT-Image) are better at prompt following and text-in-image. For marketing visuals with logos and slogans, pick the latter; for realistic product renderings, pick the former.

Is this your use case?

  • ·You need images programmatically at scale (not one-offs).
  • ·Some images need text in them (logo, slogan, UI element).
  • ·Iterative refinement with natural language would be useful.

What to look for

  • →Prompt following: what you ask for should land.
  • →Text-in-image quality if relevant.
  • →Price per image — varies a lot across models.

Recommended models

Best-of list, ordered by fit — not alphabetically.

  1. 1
    openai/gpt-image-1
    Top pick
    OpenAI's current image-generation model — precise prompt following, text-in-image.

    Best prompt following and best text-in-image performance. Standard for marketing visuals with slogan or logo.

    Model details
  2. 2
    google/gemini-3.1-flash-image-preview
    Best budget
    Google's multimodal image-generation model — image output straight from the prompt.

    Generates images in the chat flow — no separate endpoint. Iterative refinement via follow-up prompts. Detail quality below GPT-Image.

    Model details