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2026-04-24//LOG

Is GPT-5.5 worth the trouble of switching tools?

A better model needs to justify changing a workflow that already works. The new capability can be excellent and still arrive in an application that creates too much work for me. That part of the comparison matters as much as model capability because I am the person handling the change after the announcement.

In September 2026, my move from Claude to Codex was bothering me. I considered the Codex model better, but Claude delivered a better experience for that work. I requested an investigation. Preferring one model while missing the other tool is frustrating, and picking a favorite vendor does nothing to resolve it.

That memory shapes my October 2026 look back at GPT-5.5. OpenAI announced the model in April for complex professional work, then updated the publication the following day with API availability. The announcement adds an option to compare. My later difficulty with Codex does not identify GPT-5.5 as the cause; it defines what I will expect from adoption.

A tool already in use has familiar places to start a task and find its result. Switching means relearning some of that. It may also mean preparing access that was already working elsewhere. That effort belongs in the experience's cost even when it says nothing about the model's intelligence. Looking for a button still consumes my time.

In June 2026, I had already requested an assessment of the week's experiences and a comparison between models. I want that comparison attached to recognizable work. A request with a defined beginning and result makes it possible to examine where a difference appeared. Saying one option is better leaves the decision incomplete for the next task.

I will also separate unfinished configuration from missing capability. Preparation required once has a different cost from a necessary function the tool does not offer. Mixing them up can make me abandon a promising option too soon or persist with a migration that cannot serve the job. The obstacle needs a name before becoming an opinion about the entire product.

My next comparison starts with what I need to preserve from the current workflow and the improvement I expect. I will choose a task that exposes that difference and record the adaptation effort too. A launch earns an evaluation. A migration earns my time when I can explain what the work will gain from it.

Retrospective written in October 2026. The post date identifies the week revisited; the opinions draw on later experience.

Sources: OpenAI

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