claude-opus-4-7

claude-opus-4-7

Claude Opus 4.7 is our most capable generally available model, advancing performance across coding, enterprise workflows, and long-running agentic tasks.
Anthropic
Version: 1
These models constitute the vast majority of the Azure AI Foundry Models and are provided by trusted third-party organizations, partners, research labs, and community contributors. These models offer specialized and diverse AI capabilities, covering a wide array of scenarios, industries, and innovations. An example of models from Partners and community are the family of large language models developed by Anthropic. Anthropic includes Claude family of state-of-the-art large language models that support text and image input, text output, multilingual capabilities, and vision. See Anthropic's privacy policy to know more about privacy. Learn how to deploy Anthropic models . Characteristics of Models from Partners and Community:
  • Developed and supported by external partners and community contributors.
  • Diverse range of specialized models catering to niche or broad use cases.
  • Typically validated by providers themselves, with integration guidelines provided by Azure.
  • Community-driven innovation and rapid availability of cutting-edge models.
  • Standard Azure AI integration, with support and maintenance managed by the respective providers.
Models from Partners and Community are deployable as Managed Compute or serverless API deployment options. The model provider selects how the models are deployable.

About this model

Claude Opus 4.7 is our most capable generally available model, advancing performance across coding, enterprise workflows, and long-running agentic tasks.

Key model capabilities

  • Adaptive thinking is an upgrade to extended thinking that gives Claude the freedom to think as much or as little as needed depending on the task and effort level.
  • 1M context window: Claude Opus 4.7 supports a 1M token context window, enabling reasoning over entire codebases and carrying multi-day project context forward without frequent compaction.
  • High-resolution image input: Claude Opus 4.7 processes images at up to 2576px / 3.75MP delivering sharper results on screenshots, documents, and computer use.
    Claude Opus 4.7 is our most capable generally available model, advancing performance across coding, enterprise workflows, and long-running agentic tasks.
  • Coding: Claude Opus 4.7 is built for agentic coding at scale, excelling at long-horizon projects, complex implementations, and polished UI design. It handles the full lifecycle from architecture to deployment, including design-quality UI so senior engineers can delegate complex work with confidence.
  • Enterprise workflows: Claude Opus 4.7 sets the standard for enterprise knowledge work, carrying context across sessions to manage complex, multi-day projects end-to-end. It delivers professional polish on the documents, spreadsheets, and presentations that move work forward.
  • Long-running agents: Claude Opus 4.7 powers production agentic workflows, orchestrating complex multi-tool tasks with industry-leading reliability. It plans deliberately, uses memory to learn across sessions, and drives long-running work forward with minimal oversight.
  • Multimodal reasoning: Claude Opus 4.7 brings high-resolution vision to frontier multimodal reasoning, capturing fine detail in charts, diagrams, and complex document layouts alongside the surrounding context.
  • Financial analysis: Claude Opus 4.7 brings frontier reasoning to financial workflows, reading dense filings and charts at high fidelity and carrying context across an entire deal or reporting cycle. It handles the nuance and precision that compliance-sensitive work demands.
  • Cybersecurity: Claude Opus 4.7 supports security work that requires sustained focus across long traces and large codebases, surfacing subtle patterns during code review, triage, and investigation.

Quick facts

Model providerAnthropic
TypeMessages
LifecycleGenerally available (GA)
Input typetext, image, code
Output typetext, image, code
Context window1000k
Token limits128k output