We chose OpenAI because it consistently strikes the best balance between capability, reliability, and developer experience. The models are strong across reasoning, multimodality, and real-world tasks, but what really stands out is how quickly those advances become usable products.
Beyond model quality, the ecosystem matters: stable APIs, clear documentation, and a fast-moving community make it easier to go from prototype to production. Compared to alternatives, OpenAI feels less like a single model and more like a long-term platform we can confidently build on.
Images 2.6 makes it easier to go from an image idea to a finished visual. Generate images faster, make targeted edits, and even turn static images into animated GIFs.
Key features:
Faster generation: Create images faster, with Flare generating images in as little as six seconds at low quality.
GIF creation: Turn prompts, sketches, and existing images into looping animations.
Better consistency: Preserve character appearances, products, and brand details across multiple edits.
Two API models: Choose Flare for speed or Sunburst for higher-quality, detailed visual work.
Image markup: Point to specific areas of an image and describe exactly what needs to change.
SVG export: Generate scalable vector graphics for websites, apps, and print.
Complexity controls: Adjust how much planning the model does, separately from image quality.
Who it's for: Designers, marketers, content creators, developers, and businesses creating visual content at scale.
Try Images 2.6 in ChatGPT | API
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I haven't tried with 2.6 yet, but I've found GPT Image has taken a few really big steps back in terms of Photorealism lately, has anyone else been finding this? Even running API tests against sunburst with 2.5, I was struggling to get stuff that didn't look a bit CG-ish. I have to assume that this is a guard rail rather than intentional.
Has anyone else been finding the same thing? And is this solved in 2.6?
The SVG export is the part that caught my eye. I build SwiftUI apps, so being able to generate an asset and then point at a specific area to tweak it — rather than re-prompting the whole image — would save a lot of round-tripping. Curious how clean the exported paths actually are, and whether layers stay editable once it's out as an SVG?
For SVG you can choose how to split the parts of let's say a character?
Turning static images into looping GIFs is a pretty cool addition. Curious to see how well it works in practice!