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xAI has made Grok 4.7 available via Amazon Bedrock (served through the bedrock-runtime endpoint with cross-Region inference profiles). The model offers a 500K-token context window, four configurable reasoning-effort levels (low/medium/high/xhigh), improved long-horizon self-verification for coding and knowledge work, new safeguards, and support for Responses, Chat Completions, InvokeModel and Converse APIs.
xAI says Grok 4.6, a model with a 500K-token context window and four configurable reasoning levels, launched on Amazon Bedrock on August 18, 2026; it is served on both bedrock-mantle and bedrock-runtime and supports the Converse API as well as Chat Completions and Responses. xAI reports Grok 4.6 was trained with supplemental model-generated data and agentic reinforcement-learning tasks, and that it shows improved self-checking, first-pass visual/interactive outputs, and expanded safety testing; xAI published benchmark results including ones from Artificial Analysis.
An AWS Machine Learning post describes prompt caching in Amazon Bedrock, saying it can cut input token costs by up to 90% when the same context is repeatedly sent to foundation models. The article walks through six practical prompt caching scenarios for the Converse API: message content, system prompt, tool definition, mixed TTL, tenant isolation, and LangChain integration.
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