Claude Opus 4.7: What Actually Changed, and What it Costs You
Towards AI
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Generative AI
NLP
Opus 4.7 is available today. Rather than restate the announcement, I want to cover the four things that actually matter for teams running production workloads: the tokenizer regression, the new effort axis, the vision ceiling change, and the nuanced security story around CyberGym and Project Glasswing. The tokenizer change is real and you should measure it The release notes acknowledge it plainly: the same input can map to 1.0-1.35× tokens depending on content type. This is a consequence of an updated tokenizer, not a prompt-length bug, not inference overhead. The encoding vocabulary changed.