# xAI Releases Grok 4.6 with 500K Context Window

> xAI has rolled out Grok 4.6, positioning it as the company's new flagship for coding, agentic tasks, and general knowledge work. The headline spec is a 500,000 token context window, which lets the model hold very large codebases or document sets in view at once, and it accepts both text and image input while producing text output. Pricing starts at $2 per million input tokens, with cached input at $0.50 and output at $6, and xAI is also shipping speech to speech voice features alongside the release. The interesting part is less any single benchmark and more the cadence. Point releases like this one now arrive every few months, each nudging context length, price, and agentic reliability, which is where the real competition among labs has moved. For developers and teams building on top of these models, the practical takeaway is cost and context. A large window at a mid tier price makes long running agent workflows and big retrieval jobs more affordable. Whether 4.6 meaningfully closes the gap with rival flagships will come down to how it holds up on real tasks rather than headline numbers.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: DataNorth AI · Published Sunday, August 23, 2026_

## Wortins' read

xAI has rolled out Grok 4.6, positioning it as the company's new flagship for coding, agentic tasks, and general knowledge work. The headline spec is a 500,000 token context window, which lets the model hold very large codebases or document sets in view at once, and it accepts both text and image input while producing text output. Pricing starts at $2 per million input tokens, with cached input at $0.50 and output at $6, and xAI is also shipping speech to speech voice features alongside the release. The interesting part is less any single benchmark and more the cadence. Point releases like this one now arrive every few months, each nudging context length, price, and agentic reliability, which is where the real competition among labs has moved. For developers and teams building on top of these models, the practical takeaway is cost and context. A large window at a mid tier price makes long running agent workflows and big retrieval jobs more affordable. Whether 4.6 meaningfully closes the gap with rival flagships will come down to how it holds up on real tasks rather than headline numbers.

## Source

[Read the full story at DataNorth AI](https://datanorth.ai/news/xai-releases-grok-4-6)

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