Amazon Bedrock Adds xAI's Grok 4.6 Model
Amazon Web Services has made xAI's flagship Grok 4.6 model generally available on Amazon Bedrock, expanding enterprise access to advanced reasoning and agentic capabilities.

Amazon Web Services has added xAI's flagship Grok 4.6 model to Amazon Bedrock under the ID xai.grok-4.6. Released on August 19, 2026, one week after its debut, the model costs $2 per million input tokens and $6 per million output tokens directly. On Bedrock, In-Region and Geo cross-Region requests are priced at $2.20 per million input and $6.60 per million output tokens, while Global cross-Region inference is $2.00 and $6.00. Cached-read pricing is $0.55 per million tokens for In-Region/Geo and $0.50 for Global. The model features a 500,000-token context window, accepts text and image inputs, and offers four reasoning tiers: low, medium, high, and xhigh.
This release expands on Grok 4.3, which debuted on Bedrock in June 2026 at $1.25 per million input and $2.50 per million output tokens with a 1-million-token context window. Unlike its predecessor, which only ran on the bedrock-mantle endpoint, Grok 4.6 also utilizes the bedrock-runtime endpoint. This allows deployment across more than 30 AWS Regions via Geo and Global cross-Region inference profiles, though the mantle endpoint still serves In-Region requests from us-west-2 (Oregon).
Grok 4.6 shows strong benchmark gains, scoring 61 on the Artificial Analysis Intelligence Index, up from 56 for Grok 4.5 High, matching GPT-5.6 Sol Max and trailing Fable 5 Max by one point. On agentic suites, it scores 65.9% on DeepSWE v1.1, 57.5% on APEX-Agents, and 26% on Terminal-Bench v3.0, compared to Grok 4.5's respective scores of 54%, 47.1%, and 15.7%.
Developers can access the model via the OpenAI SDK or AWS's Converse API. While prompt caching works on both endpoints, server-side tool use is unsupported on the runtime endpoint, whereas the mantle endpoint supports client-side tool calling and abuse detection. This integration allows enterprises to run Grok 4.6 within their existing AWS security and compliance perimeters.
This is our own summary of reporting by Unite.AI



