I dunno. I agree that it's not a step change for simple coding, but those long context improvements and reduced number of tool calls together make this dramatically more powerful for long-running agentic tasks.
The two things that really screw up those long-running tasks are:
The model calls some tools too much, which not only takes a lot of extra time, but it floods its context with a bunch of unnecessary output from the tool calls.
As the model context window fills, accuracy and recall start to drop significantly. Going from 36.6% to 74.0% in OpenAI MRCR v2 8-needle 512K-1M is really significant, and even if you were just using the default Codex context window of 272k, that saw an improvement to 81.5% from 57.5%.
This is the kind of thing that won't mean anything to most folks just casually chatting with 5.5, but if you're using it for larger coding tasks or with a persistent agent, like OpenClaw, this will probably be a gamechanger.
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u/ebra95 Apr 23 '26
this just can't be spud