GPT Image 2 Low
Fast and cheap by design — high-volume concepting, bulk variations, and thumbnail tests, with text rendering intact.
Overview
Developed by OpenAI, GPT Image 2 Low is the most cost-efficient tier of the GPT Image 2 generation family. It retains the core model's highly accurate text rendering and strong prompt adherence at a fraction of the cost of GPT Image 2 Medium and GPT Image 2 High. This setting is optimized for high-volume workflows, rapid prototyping, and bulk thumbnail testing where speed and budget take priority over maximum photorealistic detail.
GPT Image 2 Low Image to Image
Image → Image (edit) generation.
Specifications
- Input mode
- Image → Image (edit)
- Aspect ratios
- 16:9, 9:16, 4:3, 3:4, 1:1
- Pricing
- 5 credits / image — higher resolutions cost more
- Free tier
- Yes
GPT Image 2 Low Text to Image
Text → Image generation.
Specifications
- Input mode
- Text → Image
- Aspect ratios
- 16:9, 9:16, 4:3, 3:4, 1:1
- Pricing
- 5 credits / image — higher resolutions cost more
- Free tier
- Yes
Text → Image examples
What kinds of images is GPT Image 2 Low best for?
GPT Image 2 Low is highly accurate at text rendering, typography, UI mockups, and referential consistency. It reliably generates clean multilingual labels and complex layouts, such as architectural blueprints. As the budget tier of OpenAI's current generation, it handles bulk generation and iterative workflows where you need strong prompt adherence without paying premium prices.
When did GPT Image 2 Low launch, and how does it fit into the model family?
OpenAI released GPT Image 2 on April 21, 2026, replacing GPT Image 1.5 as their default image generator. The model is available in three quality tiers. "Low" is the most affordable variant, offering the same core reasoning and text accuracy as GPT Image 2 Medium and GPT Image 2 High, but optimized for speed and budget-sensitive work.
How can I get the best results while keeping costs down?
A common workflow trick is to generate your base image using GPT Image 2 Low to lock in the layout, text, and composition for just a few cents, then pass it through an upscaler to achieve near-4K resolution. This avoids the steep $0.40 per-image cost of the native High tier. For prompt structuring, read community deep-dives which recommend treating it like a designer—specify UI elements and text placements exactly, as the model uses a "thinking-first" composition approach.
Similar models
Prompt tips
- Draft low, render high: Generate 4–6 variants on the Low tier to nail down the composition and layout, then swap to GPT Image 2 Medium or GPT Image 2 High for the final render.
- Use structured character sheets: For consistent subjects, paste brief, formatted descriptions directly into the prompt (e.g., "Name: age, build, hair, height, visual element").
- Keep text concise: Since the model bills text tokens separately, trim unnecessary words from your prompt to keep generation costs at the absolute minimum.
