GPT-5.x and multimodal: what to follow when names change weekly

The naming trap

Community terms like “GPT-5.5” often refer to a moving set of 5.x-era capabilities, while your integration is pinned to specific model IDs and API surfaces. If the two diverge, ship what the docs allow, not what a headline implies.

If anything here conflicts with OpenAI’s official documentation, the documentation wins.

What to standardize (so you can sleep)

• A written acceptance rubric (text legibility, hands, product-plausible lighting, end-to-end latency).
• Versioned prompt packs and changelogs—don’t “prompt glue” a workflow to a temporary nickname.
• A single unit economics definition for images: include retries, tooling time, and QA.

Yollomi as a cross-model testbench

Yollomi aggregates multiple image stacks under one credit model. When an OpenAI-class route exists (e.g. GPT Image 2 on-site), compare it against other flagship routes using the same prompts and acceptance checks—GPT Image 2 is a good example entry point if enabled for your account.

Disclaimer: This is not a roadmap leak, legal advice, or a procurement guarantee—just an operations playbook.