xAI has made Grok 4.6 generally available on Amazon Bedrock, opening up access to the model for AWS developers across supported regions.

Described by xAI as its latest flagship model, Grok 4.6 is built for "long-running agents and ambitious interactive and visual work." It comes with a 500,000-token context window and configurable reasoning effort settings, spanning low, medium, high and xhigh, allowing developers to tune the balance between speed and depth of reasoning for different tasks.

Pricing on Bedrock is set at $2 per million input tokens, $0.30 per million cached input tokens, and $6 per million output tokens.

The listing marks another route to market for xAI's flagship model, sitting alongside its existing API and consumer offerings, and gives AWS customers direct access to Grok 4.6 through the Bedrock platform they already use.


AI Contracts Decoded: What Fortune 500 Legal Veterans Know That You Don’t
When Microsoft refuses to negotiate indemnification with their biggest customers, what does that mean for your AI vendor contracts? When IBM data shows 97% of AI breaches stem from compliance failures—most being supply chain-related—who holds liability? When employees download shadow AI tools with zero cybersecurity controls, what recourse does your company have? None. Cathy Mulrow-Peattie brings perspective most outside counsel lack: Fortune 500 in-house experience at MasterCard and Omnicom, General Counsel at an AI startup, now advising enterprises. She starts with business goals before technology, technology before contracts—because she’s been in the hot seat when governance fails. You’ll learn: • Why 10-year AI contracts create risk and 90-day pilots with exit strategies are essential • The IP paradox: machine-generated outputs aren’t copyrightable but terms of use matter • How LLM providers retain “certain uses” of your data and when private instances become mandatory • Why contractual risk allocation to key vendors is your only viable strategy Key topics: Supply chain due diligence • The 97% compliance failure rate • Shadow AI liability traps • Benchmarking gaps • Hallucination disclaimers • GDPR/CCPA requirements • NY DFS Part 500 • Acceptable use policies • Dark web data sourcing • Evolutionary AI governance For: CISOs, CIOs, Chief Legal Officers, and compliance leaders navigating AI vendor relationships Contractual realities from someone who’s negotiated with Microsoft, advised Fortune 500s, and managed governance failures.
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