latentbrief

xAI · Grok 3

Grok 3

xAI's bet on inference compute, wired into X for fresh context.

Grok 3 is an advanced large language model developed by xAI, released in mid-2023 as part of the Grok family. It is designed to support developers and product teams by providing robust AI-powered text processing capabilities for complex workflows and extended multi-turn conversations.

Technically, Grok 3 is distinguished by its massive 131,072-token context window, allowing for detailed comprehension and generation of extensive text inputs. This capability positions it as a high-performance AI solution capable of handling large-scale text processing, analysis, and generation tasks with exceptional precision and efficiency.

Grok 3 represents a significant evolution within the Grok lineup, advancing from its predecessors by expanding its context window and improving its ability to manage dense, technical content. This positions the model as a high-tier offering suitable for sophisticated applications requiring extended context handling.

Background

Grok is a generative artificial intelligence chatbot developed by xAI. It was launched in November 2023 by Elon Musk as an initiative based on the large language model (LLM) of the same name. Grok has apps for iOS and Android and is integrated with the X social network and Tesla's Optimus robot. The chatbot is named after the verb to grok, created by the American science fiction author Robert A. Heinlein to convey a form of deep, intuitive understanding.

Wikipedia

Specs

Context window
131K tokens
Input ($/1M tokens)
$3.00
Output ($/1M tokens)
$15.00
Modalities
Text
Weights
Closed

Pricing last synced Apr 27, 2026 via OpenRouter. Confirm against official docs before committing.

Capabilities

  • Tool use
  • Vision
  • Extended thinking
  • Prompt caching
  • Open weights

What it excels at

  • Large context window

    Supports workflows requiring detailed attention across massive inputs, processing up to 131,072 tokens.

  • Technical domain expertise

    Excels in tasks requiring domain-specific knowledge, particularly in software development and engineering concepts.

  • Conversational coherence

    Maintains focus and clarity during long multi-turn dialogues.

  • Content analysis efficiency

    Processes large volumes of text while delivering actionable insights efficiently.

When to use this model

  • Long-form content generationHandles extensive input with high fidelity, suitable for creating large-scale documents.
  • Complex query handlingProcesses intricate queries requiring comprehension of large text inputs.
  • Code debugging and explanationProvides precise troubleshooting and clear annotations for complex codebases.
  • Document summarizationSummarizes extensive text efficiently due to its large context capability.
  • Building conversational AI agentsMaintains coherent dialogue over extended interactions, making it ideal for sophisticated chatbot systems.

Analysis synthesized from gpt-4o, llama-4-maverick, phi-4, etc.

API model id

grok-3

Vendor docs: docs.x.ai

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