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Microsoft Foundry
grok-4.6

grok-4.6

Grok 4.6 is a multimodal large language model from xAI designed for coding, engineering, knowledge work, research, and agentic workflows, with improvements in reasoning, task completion, and long-horizon problem solving.
xAI
Direct from Azure
Version: 1

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About this model

Grok 4.6 is a multimodal large language model developed by SpaceXAI (xAI LLC). It is designed for coding, engineering, knowledge-work, research, and agentic workflows, with improvements in reasoning, task completion, and long-horizon problem solving. The model supports text and image inputs and generates text outputs. It is optimized for complex tasks requiring planning, analysis, tool use, and extended context.

Key model capabilities

  • Advanced coding, debugging, and software engineering assistance
  • Agentic workflows with tool use and task automation
  • Knowledge-work automation, including document analysis, research, and content generation
  • Engineering and technical problem solving
  • Long-context reasoning with support for up to 200,000 tokens
  • Multimodal understanding of text and image inputs
  • Business productivity and research assistance

Key use cases

  • Software development and code generation
  • Code review, debugging, and repository analysis
  • Technical research and document summarization
  • Business analysis and knowledge management
  • Report, presentation, and content creation
  • Agent-based automation and workflow orchestration
  • Engineering and design-related problem solving

Out of scope use cases

  • Autonomous medical, legal, financial, or safety-critical decision making without human oversight
  • High-risk decisions requiring expert review and validation
  • Workloads requiring guaranteed factual accuracy without independent verification
  • Attempts to bypass built-in safety mechanisms
  • Activities that violate Microsoft's Responsible AI requirements, applicable laws, or acceptable use policies

Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.

Quick facts

Model providerxAI
TypeChat completion, Responses
LifecyclePreview
Input typetext, image
Output typetext
Context window200k
Token limits128k output