Grok 4.7 on Amazon Bedrock: reasoning effort vs. agent accuracy
Original titleBuild long-horizon agents with Grok 4.7 on Amazon Bedrock
AISummary
AWS tested Grok 4.7 on Amazon Bedrock with a tool-calling agent on three search tasks, six runs per task at each reasoning effort level. The agent answered 67 of 72 runs correctly, and all 18 runs at xhigh, while low answered 15 of 18 using about an eighth of xhigh's output tokens.
AIWhy it matters
The post measures how reasoning effort trades output tokens against correctness on search-style agent tasks, giving a method to test the same trade-off on your own workload.
Source: AWS Machine Learning Blog · aws.amazon.comPublished · added here