SVG support is interesting but I suspect shenanigans are afoot since that's not how image generation models work, and it would likely strip any SynthID watermarks. It's possible OpenAI has pipelined a raster-to-vector tool that does the conversion automatically. (I developed a similar pipeline and it works extremely well; I'll open source it at some point)

EDIT: Per documentation, there is an explicit `output_format: "svg"`, and I am indeed correct there is raster-to-vector in play:

> The API creates a reference image and uses it to produce the SVG. The quality setting controls that reference image. Decode data[0].b64_json as base64 and save the resulting UTF-8 XML bytes with a .svg extension.

OpenAI claims 50% faster generation with Images 2.6 but curiously price is the same as Image 2.5.

I guess I should have been careful about “half”?

These models have a hard time imagining men with naturally blond hair getting grey.

SVG is cool though, I wonder how good it is.

After playing with it for an hour, I'm rolling back 2.6-flare to 2.5-flare. I've found 2.6-flare specifically to be too simplistic in its approaches.

Examples: https://diffui.ai/app/canvas/178db5d5-ff87-4b43-aa98-2897773...

2.6-sunburst seems solid however.

2.5 low, 196 tokens, $0.006

2.6 low, 823 tokens, $0.025

2.5 med, 439 tokens, $0.013

2.6 med, 1449 tokens, $0.043

Interestingly, higher quality settings show no change in token usage between the models.

> Images 2.6 is available globally today in ChatGPT and Codex across all subscription tiers on desktop, mobile, and web.

But I just updated my codex-cli to the latest version (still 0.166.0) and it is still unable to generate gifs. Very disappointing

> Create a GIF where xkcd 2347 gets hit by an airliner like the twin towers and the pilot is AI

and got a refusal.

> We’re so sorry, but the image we created may violate our guardrails around violence.