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Model details

Grok 4.6 (AWS Bedrock)

Grok 4.6 is the successor in xAI's Grok family and continues the lineage from Grok 4.5, carrying the same focus on long-running agents and ambitious interactive work. According to the official release notes, it is built to stay coherent across many sequential steps, whether it is researching a topic, analyzing information, working across a codebase, or transforming an idea into a polished application or creative artifact. The release emphasizes visual and interactive production alongside traditional reasoning, positioning the model as a general-purpose assistant for projects that require sustained attention rather than single-turn answers.

On the evaluation side, Grok 4.6 reaches a score of 61 on the Artificial Analysis Intelligence Index, a composite measure of nine benchmarks, and matches GPT-5.6 Sol at the top of that index. It also posts competitive numbers on agentic coding suites including DeepSWE 1.1, CursorBench 3.2, and FrontierCode 1.1, alongside knowledge-work benchmarks such as GDPVal-AA. Independent commentary suggests that writing quality, design taste, and post-training tuning are the main axes of improvement over Grok 4.5, while pricing is expected to remain at prior levels. Together, these traits make Grok 4.6 a strong fit for developers building multi-step coding agents, research assistants, and visual product prototypes where consistency over long sessions matters more than short-form chat polish.

LLM Gatewayaws-bedrock/grok-4-6grok

Quick Info

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Provider
LLM Gateway
Model key
aws-bedrock/grok-4-6
Release date
Aug 12, 2026
Last updated
Aug 12, 2026
Knowledge cutoff
2026-02-01
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.00
Output token cost
$6.00

Limits

Output tokens
500,000 tokens
Context window
500,000 tokens

Transparent token rates

Compare Grok 4.6 (AWS Bedrock) pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Grok 4.6 (AWS Bedrock)

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Coverage

AWS announced on September 21, 2026 that xAI's Grok 4.6 is now available in Amazon Bedrock, bringing the frontier model to AWS customers through the same console and billing relationship they already use for other foundation models. The announcement is published on the official AWS Machine Learning Blog, establishing B The same Bedrock availability gives Grok 4.6 a multi-region footprint and integration into Bedrock's standard tooling (IAM, Converse API, streaming, cross-region inference), as corroborated by third-party setup guidance that documents the model's 500K-token context window and four selectable reasoning levels. This posi

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Coverage

A CloudScoop update from August 27-28, 2026 reports that Grok 4.6 has expanded to Amazon Bedrock in AWS GovCloud (US), bringing the model — a frontier system built for coding, agentic tasks, and knowledge work — to government cloud environments. The model offers a 500K context window and four reasoning effort settings The GovCloud deployment runs on the bedrock-runtime endpoint with support for Responses, Chat Completions, and Converse APIs, and also exposes the bedrock-mantle endpoint in AWS GovCloud (US-East). Cross-Region inference routes requests across both AWS GovCloud (US) Regions, enabling GovCloud customers to scale Grok 4.

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Coverage

A detailed third-party tutorial published August 21, 2026 walks developers through a 13-step setup for running Grok 4.6 on Amazon Bedrock, covering IAM permissions, the boto3 Converse API, streaming responses, tool use, cross-Region inference, budget alarms, and deployment on AWS Lambda. The guide confirms that as of i According to the tutorial's review of AWS's own Bedrock model card, Grok 4.6 is described as xAI's frontier model built for coding, agentic tasks, and knowledge work, with a Mixture-of-Experts architecture at roughly 1.5 trillion parameters and a 500,000-token context window. The tutorial highlights four selectable rea

LLM Gateway

Coverage

xAI's official news post dated August 19, 2026 confirms Grok 4.6 is generally available on Amazon Bedrock, framing it as a flagship model built for long-running agents and interactive/visual work. The post specifies a 500K context window and four configurable reasoning effort levels (low, medium, high, xhigh), giving B The announcement lists Bedrock pricing at $2 per 1M input tokens, $0.50 per 1M cached input tokens, and $6 per 1M output tokens, with availability to all developers in supported AWS Regions. Developers are directed to AWS documentation for onboarding details, and a link to the separate Grok 4.6 announcement is provided

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Official sourceRelease Notes

LLM Gateway's official changelog confirms that xAI's Grok 4.6 — with a 500K context window — now routes through AWS Bedrock at $2.00 per million input tokens, $6.00 per million output tokens, and $0.50 per million cached input tokens. The mapping was verified live across the full capability matrix: vision, tools, JSON The changelog positions the Bedrock mapping as adding two more deployment options for the same model string, enabling smart routing and automatic fallback across AWS Bedrock and Vertex AI. It also introduces GLM-5.2 Turbo on SCX.ai at $1.99/M input and $6.16/M output with a 1M-token context window, plus an Australian r

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