GPT Image 2 vs GPT Image 1.5: What Actually Changed?
A source-based comparison of GPT Image 2 and GPT Image 1.5 using OpenAI's current model docs, pricing, and image-generation guide.
GPT Image 2 vs GPT Image 1.5: What Actually Changed?
TL;DR
OpenAI now positions GPT Image 2 as the current state-of-the-art image model, while GPT Image 1.5 is labeled as the previous image generation model.
The biggest practical changes visible in official docs are:
- GPT Image 2 becomes the new default image model
- the guide now centers examples on GPT Image 2
- pricing shifts by quality tier
- GPT Image 2 supports flexible image sizes in the guide and model docs
The official positioning
| Model | How OpenAI currently describes it | |---|---| | GPT Image 2 | state-of-the-art image generation model | | GPT Image 1.5 | previous image generation model |
That alone makes the product direction clear.
Pricing differences
For the guide's example sizes, the 1024×1024 comparison looks like this:
| Quality | GPT Image 2 | GPT Image 1.5 | |---|---:|---:| | Low | $0.006 | $0.009 | | Medium | $0.053 | $0.034 | | High | $0.211 | $0.133 |
So GPT Image 2 is not simply "more expensive" or "cheaper."
The better summary is:
- cheaper at low quality
- more expensive at medium and high quality
Workflow differences that matter
The image-generation guide calls out two especially important GPT Image 2 traits:
- flexible image sizes
- high-fidelity image inputs
That makes GPT Image 2 easier to frame as a production model for teams that care about:
- exact output sizes
- reference-image editing
- more controlled commercial workflows
What stayed similar
Both models still live in the same broader GPT Image family and both sit inside the image-generation tooling documented by OpenAI.
You still need to think about:
- prompt quality
- edit vs generation workflow
- size and quality tradeoffs
- text and image input costs
Which one should teams use?
| Team situation | Better starting point | |---|---| | you want the current flagship | GPT Image 2 | | you need older workflow continuity | GPT Image 1.5 | | you are highly cost-sensitive on low-quality drafts | test GPT Image 2 low vs your current pipeline | | you produce polished marketing assets | benchmark GPT Image 2 medium/high directly |
The practical takeaway
GPT Image 2 is not just a rename. The docs now treat it as the lead image model, and the pricing/profile changes are material enough that teams should rerun benchmarks rather than assuming GPT Image 1.5-era economics still hold.
Sources
Source: OpenAI Developers — GPT Image 2 model page Source: OpenAI Developers — GPT Image 1.5 model page Source: OpenAI Developers — Pricing Source: OpenAI Developers — Image generation guide
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