--- title: Build long-horizon agents with Grok 4.7 on Amazon Bedrock description: Grok 4.7 is now available on Amazon Bedrock via cross-Region inference profiles, with a 500K token context window and a configurable reasoning effort setting... canonical: https://daily.dev/posts/build-long-horizon-agents-with-grok-4-7-on-amazon-bedrock-layqmiazs twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Build long-horizon agents with Grok 4.7 on Amazon Bedrock | daily.dev og:description: Grok 4.7 is now available on Amazon Bedrock via cross-Region inference profiles, with a 500K token context window and a configurable reasoning effort setting... og:url: https://daily.dev/posts/build-long-horizon-agents-with-grok-4-7-on-amazon-bedrock-layqmiazs og:image: https://api.daily.dev/og/posts/laYqmIaZs.png og:image:alt: Build long-horizon agents with Grok 4.7 on Amazon Bedrock og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Build long-horizon agents with Grok 4.7 on Amazon Bedrock **[AWS](https://daily.dev/sources/aws)** · 15 min read · 0 upvotes · 0 comments ## Summary Grok 4.7 is now available on Amazon Bedrock via cross-Region inference profiles, with a 500K token context window and a configurable reasoning effort setting (low, medium, high, xhigh). A tool-calling agent built on Grok 4.7 was tested on three search-style reasoning tasks (fault diagnosis, maintenance scheduling, migration budgeting) across all four effort levels, totaling 72 runs. The agent answered 67 of 72 correctly, with xhigh achieving a perfect 18/18 while low answered 15/18 using roughly one-eighth of the output tokens. Tool call counts stayed flat across effort levels, meaning effort changes how much the model reasons rather than how much it explores. Practical guidance covers setting effort per request, monitoring output token volume as a production signal, and operational concerns like retries, cost tiering, and routing profile choice. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What reasoning effort levels does Grok 4.7 support on Amazon Bedrock and how do they affect token usage? Grok 4.7 supports four reasoning effort levels on Amazon Bedrock: low, medium, high, and xhigh. In tested agent runs, mean output tokens rose from 1,184 at low to 6,430 at medium, 6,778 at high, and 9,147 at xhigh, roughly 7.7x more tokens at xhigh than low, while tool call counts stayed flat across all levels. _daily.dev surfaces practical breakdowns like this for engineers tuning cost versus accuracy in agent workloads._ ### How much does reasoning effort improve accuracy for Grok 4.7 agents on multi-step reasoning tasks? At xhigh, a Grok 4.7 tool-calling agent answered all 18 of 18 runs correctly across three search-style reasoning tasks (fault diagnosis, maintenance scheduling, migration budgeting), while medium and high each scored 17 of 18, and low scored 15 of 18 using about one-eighth the output tokens of xhigh. Tool call counts remained roughly constant, so the gains came from more reasoning, not more exploration. _developers deciding between accuracy and cost for agent tasks can track benchmarks like these on daily.dev._ ### How do I access Grok 4.7 on Amazon Bedrock and which inference profile should I use? Grok 4.7 is accessed through a cross-Region inference profile on the bedrock-runtime endpoint, not a bare model ID. Use us.xai.grok-4.7 for US data residency requirements, or global.xai.grok-4.7 for routing across commercial AWS Regions when there are no residency constraints and wider capacity is wanted; the model supports OpenAI-compatible Chat Completions, Responses, and the Bedrock Converse API. _teams rolling out new Bedrock models can keep configuration details straight via daily.dev._ ## Similar posts on daily.dev - [xAI’s Grok 4.6 is now available in Amazon Bedrock](https://daily.dev/posts/xai-s-grok-4-6-is-now-available-in-amazon-bedrock-fo6p4cpye) · AWS · 1 upvotes · 0 comments - [Grok 4.3 from xAI is now available on Amazon Bedrock in AWS GovCloud \(US-West\)](https://daily.dev/posts/grok-4-3-from-xai-is-now-available-on-amazon-bedrock-in-aws-govcloud-us-west--dmh9b3tsr) · AWS · 0 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#grok](https://daily.dev/tags/grok), [#amazon-bedrock](https://daily.dev/tags/amazon-bedrock) [View this post on daily.dev](https://daily.dev/posts/build-long-horizon-agents-with-grok-4-7-on-amazon-bedrock-layqmiazs) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Build long-horizon agents with Grok 4.7 on Amazon Bedrock","url":"https://daily.dev/posts/build-long-horizon-agents-with-grok-4-7-on-amazon-bedrock-layqmiazs","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/build-long-horizon-agents-with-grok-4-7-on-amazon-bedrock-layqmiazs"},"datePublished":"2026-10-13T16:02:39.223Z","dateModified":"2026-10-13T16:41:22.568Z","description":"Grok 4.7 is now available on Amazon Bedrock via cross-Region inference profiles, with a 500K token context window and a configurable reasoning effort setting...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ce863ad7ae1349f5b37855c057f25573?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ce863ad7ae1349f5b37855c057f25573?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"AWS","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"AWS","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/aws","url":"https://daily.dev/sources/aws"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/build-long-horizon-agents-with-grok-4-7-on-amazon-bedrock-layqmiazs","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,ai-agents,grok,amazon-bedrock","timeRequired":"PT15M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"AWS","item":"https://daily.dev/sources/aws"},{"@type":"ListItem","position":3,"name":"Build long-horizon agents with Grok 4.7 on Amazon Bedrock"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/build-long-horizon-agents-with-grok-4-7-on-amazon-bedrock-layqmiazs#faq","mainEntity":[{"@type":"Question","name":"What reasoning effort levels does Grok 4.7 support on Amazon Bedrock and how do they affect token usage?","acceptedAnswer":{"@type":"Answer","text":"Grok 4.7 supports four reasoning effort levels on Amazon Bedrock: low, medium, high, and xhigh. In tested agent runs, mean output tokens rose from 1,184 at low to 6,430 at medium, 6,778 at high, and 9,147 at xhigh, roughly 7.7x more tokens at xhigh than low, while tool call counts stayed flat across all levels. daily.dev surfaces practical breakdowns like this for engineers tuning cost versus accuracy in agent workloads."}},{"@type":"Question","name":"How much does reasoning effort improve accuracy for Grok 4.7 agents on multi-step reasoning tasks?","acceptedAnswer":{"@type":"Answer","text":"At xhigh, a Grok 4.7 tool-calling agent answered all 18 of 18 runs correctly across three search-style reasoning tasks (fault diagnosis, maintenance scheduling, migration budgeting), while medium and high each scored 17 of 18, and low scored 15 of 18 using about one-eighth the output tokens of xhigh. Tool call counts remained roughly constant, so the gains came from more reasoning, not more exploration. developers deciding between accuracy and cost for agent tasks can track benchmarks like these on daily.dev."}},{"@type":"Question","name":"How do I access Grok 4.7 on Amazon Bedrock and which inference profile should I use?","acceptedAnswer":{"@type":"Answer","text":"Grok 4.7 is accessed through a cross-Region inference profile on the bedrock-runtime endpoint, not a bare model ID. Use us.xai.grok-4.7 for US data residency requirements, or global.xai.grok-4.7 for routing across commercial AWS Regions when there are no residency constraints and wider capacity is wanted; the model supports OpenAI-compatible Chat Completions, Responses, and the Bedrock Converse API. teams rolling out new Bedrock models can keep configuration details straight via daily.dev."}}]} ```