# xAI puts Grok 4.6 on Amazon Bedrock one week after launch > Source: > Published: 2026-08-19 15:58:43+00:00 # xAI puts Grok 4.6 on Amazon Bedrock one week after launch **xAI's flagship model brings a 500,000-token context window to AWS at $2 per million input tokens and $6 per million output tokens.** By [RuntimeWire Staff](/author/runtimewire-staff) ยท Published Primary source: [SpaceXAI](https://x.ai/news/grok-4-6-amazon-bedrock) ## Why it matters Bedrock gives Musk's xAI a direct route into AWS procurement and infrastructure. The real test is whether Grok 4.6's agentic performance earns its higher price against both Grok 4.3 and rival models already sold through Amazon. [Elon Musk (@elonmusk)](https://x.com/elonmusk?ref=runtimewire)'s [xAI](https://x.ai/?ref=runtimewire) made [Grok 4.6](/models/x-ai/grok-4.6) generally available through [Amazon Bedrock](https://aws.amazon.com/bedrock/model-choice/?ref=runtimewire) on Wednesday, giving AWS developers access to the model seven days after its original release. The [August 19 announcement](https://x.ai/news/grok-4-6-amazon-bedrock?ref=runtimewire) puts Grok 4.6 inside a purchasing and deployment channel already used by enterprise engineering teams. xAI priced Bedrock access at $2 per 1 million input tokens and $6 per 1 million output tokens, matching the standard rates listed in its own launch materials. xAI says Grok 4.6 has a [500,000-token context window](/article/spacexai-grok-46-musk-long-running-agents-price) and four reasoning settings: low, medium, high and xhigh. ([x.ai](https://x.ai/news/grok-4-6-amazon-bedrock?ref=runtimewire)) For Musk, the Bedrock listing extends a familiar playbook: spend heavily on infrastructure, ship quickly, then place the product wherever customers already work. The financial structure behind that push changed earlier this year. xAI announced a $20 billion Series E on January 6, and SpaceX acquired xAI effective February 2, according to SpaceX offering documents. The acquisition folded an already capital-intensive AI developer into Musk's larger industrial base. ([x.ai](https://x.ai/news/series-e?utm_source=openai&ref=runtimewire)) ### A faster route into enterprise accounts Amazon Bedrock matters because it shortens the commercial distance between a model release and an enterprise deployment. AWS customers can use an existing cloud purchasing and deployment path instead of arranging a separate model integration from scratch. That can reduce work xAI would otherwise have to handle directly, including separate vendor onboarding and another layer of cloud integration. It also puts Grok 4.6 into a managed catalog where AWS markets the ability to evaluate and switch among models from multiple providers. ([AWS](https://aws.amazon.com/bedrock/model-choice/?ref=runtimewire)) The arrangement serves both sides. xAI gains access to AWS accounts without building every enterprise relationship from scratch. Amazon gets another flagship model for a catalog whose appeal depends on offering enough credible alternatives that customers do not need to leave Bedrock to experiment. The new release adds xAI's highest reasoning setting and is marketed for long-running agents and interactive and visual work. The Bedrock announcement lists the 500,000-token context window and $2/$6 pricing, but provides no independent latency, reliability or usage data for Grok 4.6. That comparison captures the choice facing developers. Context length is one specification among many. Teams building coding agents or research systems also pay for the model's ability to remain on task, use tools and recover from errors across a long sequence of actions. Grok 4.6 is xAI's attempt to [command a](/models/cohere/command-a) higher price on those harder workloads, even with a smaller context window than the 1 million-token capacity previously listed for [Grok 4.3](/models/azure/grok-4.3) in the draft's earlier Bedrock comparison. ### What xAI trained Grok 4.6 to do In the [August 12 model announcement](https://x.ai/news/grok-4-6?ref=runtimewire), xAI said Grok 4.6 received a longer supplemental training run than Grok 4.5. The process used model-generated reasoning data, engineering data, supervised fine-tuning trajectories regenerated by Grok 4.5, and reinforcement-learning tasks covering coding, knowledge work, web development, computer-aided design and kernel optimization. xAI describes the result as a model for researching unfamiliar subjects, working across codebases and turning broad product ideas into functioning applications. xAI also says it observed more self-testing and verification during longer tasks. Those are xAI's findings from its own testing. The Bedrock announcement provides no separate AWS evaluation, latency measurements or production reliability data for Grok 4.6. ([x.ai](https://x.ai/news/grok-4-6?ref=runtimewire)) The configurable reasoning levels give developers a direct cost and latency control. A routine request can run at low effort, while a difficult coding or research task can use high or xhigh. Higher reasoning effort can improve performance on multi-step work, though it can also produce more billable output tokens. At $6 per million output tokens, an agent that repeatedly plans, calls tools, checks its work and revises an answer can cost considerably more than its initial prompt suggests. The Bedrock announcement says Grok 4.6 is available to all developers in supported AWS Regions and directs developers to AWS documentation. It does not list the exact Regions, interfaces or service tiers enabled for the model. ([x.ai](https://x.ai/news/grok-4-6-amazon-bedrock?ref=runtimewire)) ### Distribution is becoming part of the model release Grok 4.6 already had broad developer distribution before the Bedrock listing. xAI launched it through its own API, Cursor and Grok Build, with additional availability through OpenRouter, Vercel and Cloudflare. Amazon adds the channel most closely tied to established enterprise cloud budgets. ([x.ai](https://x.ai/news/grok-4-6?ref=runtimewire)) That speed is deliberate. Frontier model developers are compressing the gap between training a model and making it available through the platforms where developers buy inference. A model that performs well in a benchmark still has to clear procurement, security and infrastructure requirements before it can win recurring production traffic. Musk has funded xAI to compete on both compute and reach. In its Series E announcement, xAI said it ended 2025 with more than 1 million H100-equivalent GPUs across its Colossus facilities and approximately 600 million monthly active users across X and Grok. Those figures are xAI's own measurements, and they describe potential distribution rather than paid enterprise adoption. The Bedrock launch addresses the commercial side of that equation by placing Grok 4.6 closer to the engineers and cloud accounts that can turn model usage into durable revenue. ([x.ai](https://x.ai/news/series-e?utm_source=openai&ref=runtimewire))