Image · openai/gpt-image-1.5
GPT Image 1.5 — OpenAI’s steady workhorse
GPT Image 1.5 is about predictable output without racing for the latest slot. It is the sane choice for volume: you already know the brand style, you need dozens of frames, and you do not want to pay for the “max” on every one. The same OpenAI signature, but calmer on price and speed.
Practical scenarios
- Routine creatives for banners, carousels, and internal decks.
- Team onboarding: the prompt is easier to explain when the model is less fussy about wording.
- A series where a unified style matters more than squeezing out the last detail.
When 1.5 is enough, and when you need 2
GPT Image 1.5 covers most everyday tasks: even light, readable typography, clean banners. The move to GPT Image 2 makes sense when the prompt gets long and contradictory, many conditions stack in one frame, or you hit artifacts on 1.5 — that is, when you need headroom in quality and instruction understanding.
If draft speed and your own style via LoRA matter more, look at Flux Schnell, and for a dense illustrative scene, Qwen Image.
What you need on input
It works from text and handles short, clear wording well. The credit cost depends on resolution and image count and is shown before you run.
Frequently asked about GPT Image 1.5
When is the upgrade to 2 a must?
When the prompt is long, many conditions stack in one frame, or you hit artifacts on 1.5. Until then, overpaying usually buys little.
Is it suitable for a stream of similar creatives?
Yes, that is its core scenario: predictable output and a unified style across a series at a sensible per-frame cost.
Does it do text on the image?
It does, if a bit more modestly than the flagship. For complex typography and posters, GPT Image 2 or Nano Banana Pro is more reliable.
How much does a generation cost?
Charged in credits; the sum depends on resolution and image count and is shown before you run and on the pricing page.