What is GPT Image 1.5 (T2I)?

GPT Image 1.5 (T2I) is an AI model (prompt to image) available on Artifio.ai through OpenAI. You can run it in our workspace from a single shared wallet and download your outputs.

How much does GPT Image 1.5 (T2I) cost on Artifio?

GPT Image 1.5 (T2I) starts at about $0.020 per generation on Artifio.ai. The exact cost is shown in the workspace before you confirm and can vary with the options you select.

How do I use GPT Image 1.5 (T2I) on Artifio?

Click Generate Now to open the workspace at /create/gpt-image-1-5-text-to-image. Fill in the form fields, review the live cost estimate, and run your generation.

What kind of outputs does GPT Image 1.5 (T2I) produce?

GPT Image 1.5 (T2I) is configured for prompt to image workflows in the image category. See the technical parameters below for supported inputs and options.

Can I try GPT Image 1.5 (T2I) for free?

Sign up free, top up your wallet from $5, and you can run GPT Image 1.5 (T2I) pay-as-you-go without a separate subscription for this model.

GPT Image 1.5 (T2I) — AI Image Generator

Name: GPT Image 1.5 (T2I)
Brand: Artifio
Price: 0.020 USD
Availability: InStock

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GPT Image 1.5 (T2I) — AI Image Generator | Artifio.ai

About GPT Image 1.5 (T2I)

GPT Image 1.5 is an image generation model from OpenAI, released on December 16, 2025 as the engine behind the relaunched ChatGPT Images experience and offered in the API as gpt-image-1.5. It follows the autoregressive design of the GPT Image family rather than the diffusion approach of earlier OpenAI image systems, and it shipped during the company's declared push to answer Google's Gemini 3 and Nano Banana Pro; TechCrunch reported that OpenAI pulled the launch forward from a January 2026 plan.

This entry covers the text-to-image mode: you describe a scene in words and the model renders it. On Artifio it runs in the same workspace as 100+ other models, paid per generation from one wallet.

Features

Renders square 1024x1024, portrait 1024x1536, and landscape 1536x1024 outputs, each in low, medium, or high quality tiers.
Generates up to four times faster than GPT Image 1, per OpenAI's launch claims reported by TechCrunch.
Stronger instruction following and prompt adherence than GPT Image 1, which OpenAI's model documentation lists as the headline change.
Keeps facial likeness, lighting, composition, and color tone consistent across a generation and its follow-up edits.
Accepts both text and image inputs, so a text-to-image result can be refined in later turns without switching models.

What people use it for

Fast concept exploration, where the speed gain over GPT Image 1 makes many prompt variations cheap to try.
Social and marketing imagery that needs square, portrait, and landscape versions of the same idea.
Character or product scenes that will be revised repeatedly, since the model holds lighting and likeness steady across turns.
Draft-quality renders on the low tier before committing to a high-quality final pass.

Reported strengths

Prompt adherence is the documented step up from GPT Image 1, with edits and regenerations staying close to what was asked.
Generation speed improved up to fourfold over the prior model.
Image output tokens are priced below GPT Image 1's in OpenAI's API, so iteration costs less than it did on the older model.
Consistency across successive generations addresses the iteration drift that most image tools of its generation struggled with.

Reported limitations

Wikipedia's summary of its reception notes that some art styles regressed compared with earlier GPT Image releases, even as cropping and color-bias problems were fixed.
The family's persistent weak spots remain: scenes with multiple faces, and in-image text in Chinese, Arabic, and Hebrew.
Output tops out at 1536 pixels on the long edge across three fixed sizes; there is no 2K or 4K option.
OpenAI's API documentation now marks gpt-image-1.5 as deprecated following the April 2026 release of GPT Image 2.

Sources

GPT Image 1.5 Model (OpenAI)
GPT Image (Wikipedia)
OpenAI continues on its 'code red' warpath with new image generation model (TechCrunch)