Introducing Claude Opus 4.7
… In our own testing, the net effect is favorable—token usage across all effort levels is improved on an internal coding evaluation, as shown below—but we recommend measuring the difference on real traffic. …
… In our own testing, the net effect is favorable—token usage across all effort levels is improved on an internal coding evaluation, as shown below—but we recommend measuring the difference on real traffic. …
… You can refine the system over time, and teams can maintain more than one. …
… Routine coding e.g. editing source files in your repo doesn't pay classifier latency; in-project edits are reviewable via version control. Only actions with real downside potential reach the final tier: Tier 3: Transcript classifier. …
… On coding tasks, this effort level spends a similar number of tokens as Opus 4.7’s default, but with better performance. …
… At the time, we wrote that it was “still experimental—at times cumbersome and error-prone,” but we expected rapid improvement. …
… The new connectors are: Dun & Bradstreet , which provides the global standard for verified business identity and helps enterprises connect systems of record and scale AI-enabled workflows; Fiscal AI , which extends real-time fundamentals coverage across public equities for deeper research and bench… …
… We find no evidence that coding agent users are submitting more new papers to journals or resubmitting papers more quickly. This could reflect the timeline of getting a paper to submission, as coding agent use is a recent phenomenon. …
… Claude Opus 4.5 handles long-horizon coding tasks more efficiently than any model we’ve tested . It achieves higher pass rates on held-out tests while using up to 65% fewer tokens, giving developers real cost control without sacrificing quality. …
… Over time, higher-level, more human-readable languages emerged that automatically handled complex, low-level operations. Perhaps, in particular with the rise of “vibe coding”, we’re now moving to English as a programming language. …
… Returns: List of order objects, each containing: - id str : Order identifier - total float : Order total in USD - status str : One of 'pending', 'shipped', 'delivered' - items list : Array of {sku, quantity, price} - created at str : ISO 8601 timestamp" } See below for opt-in tools that benefit fro… …