Grok 4.7 arrives on Amazon Bedrock with a tutorial on building tool-calling agents

On October 13, 2026, AWS announced on its official Machine Learning Blog that Grok 4.7 is now available on Amazon Bedrock. The post was framed less as a bare availability notice and more as a working guide: alongside confirming the model's listing, AWS used it to demonstrate how to build a long-horizon agent on the newly available model, with the walkthrough centering on a tool-calling agent and on how such an agent should be evaluated before being trusted in production.

The evaluation methodology laid out in the tutorial is fairly concrete. The authors build the tool-calling agent on Grok 4.7 and run it against three reasoning tasks, repeating the work at four different reasoning effort levels. For every completed task, they measure two things side by side: task correctness and token cost. Putting those two numbers next to each other across the four effort levels is what allows the post to show the practical trade-off teams face — how much additional reasoning effort buys in accuracy, and what that accuracy costs in tokens per completed task.

Beyond the benchmark setup itself, the tutorial also addresses what happens once an application is live. AWS shows how the correctness-versus-cost trade-off can be tuned on a per-request basis, so the balance does not have to be fixed once at launch, and how to keep monitoring that trade-off in production over time.

That is where the story stands for now. The recorded information consists of the October 13, 2026 announcement of Grok 4.7 on Amazon Bedrock together with its accompanying agent-building and evaluation tutorial; no follow-up reports, additional figures, or further developments have been noted beyond that single blog post.