Claude Opus 4.6
Claude Opus 4.6
Version: 1
AnthropicLast updated May 2026
Claude Opus 4.6 is the latest version of Anthropic's most intelligent model, and the world's best model for coding, enterprise agents, and professional work. With a 1M token context window and 128K max output, Opus 4.6 is ideal for production code, sophist
Reasoning

Models from Partners and Community

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.

Key capabilities

About this model

Claude Opus 4.6 is the latest version of Anthropic’s most intelligent model, and the world’s best model for coding, enterprise agents, and professional work.

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.
  • Image & text input: With strong vision capabilities, Claude Opus 4.6 can process images and return text outputs to analyze and understand charts, graphs, technical diagrams, reports, and other visual assets.
  • Computer use: Claude Opus 4.6 is Anthropic’s most accurate model for computer use, enabling developers to direct Claude to use computers the way people do.
  • Advanced tool use: Build agents that can take action with the tool search tool, programmatic tool calling, and tool use examples.

Use cases

See Responsible AI for additional consideration for responsible use.

Key use cases

Claude Opus 4.6 is the latest version of Anthropic’s most intelligent model, and the world’s best model for coding, enterprise agents, and professional work. Use cases include:
  • Agents: Opus 4.6 is the world's best model for agentic workflows, orchestrating complex tasks across dozens of tools with industry-leading reliability. It proactively spins up subagents, parallelizes work, and drives tasks forward with minimal oversight.
  • Coding: Opus 4.6 is the world's best coding model, excelling at long-horizon projects, complex implementations, and large-scale codebases. It handles the full lifecycle from architecture to deployment—so senior engineers can delegate their most complex work with confidence.
  • Enterprise workflows: Opus 4.6 sets the standard for enterprise workflows, powering agents that manage sprawling projects end-to-end with professional polish, domain awareness, and industry-leading performance on spreadsheets, slides, and docs.
  • Financial analysis: Opus 4.6 is Anthropic's most capable model for financial workflows, surfacing insights that would take analysts days to compile. It handles the nuance and precision that compliance-sensitive work demands.
  • Cybersecurity: Opus 4.6 delivers the deepest reasoning for security workflows, catching subtle patterns and complex attack vectors with unmatched accuracy.
  • Computer use: Opus 4.6 is our most capable computer-use model for complex workflows, bringing deep reasoning to multi-step tasks that span multiple applications and require planning and judgment.

Out of scope use cases

Please refer to the Claude Opus 4.6 system card .

Pricing

Pricing is based on a number of factors. See pricing details here . Azure credits cannot be applied to Claude models. Usage will be billed to the credit card associated with your subscription. Users are advised to review documentation here for applicable pricing and terms prior to deployment to avoid unintended charges.

Technical specs

Please refer to the Claude Opus 4.6 system card .

Training cut-off date

August 2025

Input formats

Image & text input: With powerful vision capabilities, Claude Opus 4.6 can process images and return text outputs to analyze and understand charts, graphs, technical diagrams, reports, and other visual assets. Text output: Claude Opus 4.6 can output text of a variety of types and formats, such as prose, lists, Markdown tables, JSON, HTML, code in various programming languages, and more.

Supported language

Claude Opus 4.6 can understand and output a wide variety of languages, such as English, French, Standard Arabic, Mandarin Chinese, Japanese, Korean, Spanish, and Hindi. Performance will vary based on how well-resourced the language is.

Supported Azure regions

Global

Sample JSON response

Input

{ "model": "claude-opus-4-6", "max_tokens": 1024, "messages": [ { "role": "user", "content": "Hi, who are you?" } ] }

Output

200: { "content": [ { "text": "Hi! My name is Claude.", "type": "text" } ], "id": "msg_013Zva2CMHLNnXjNJJKqJ2EF", "model": "claude-opus-4-6", "role": "assistant", "stop_reason": "end_turn", "stop_sequence": null, "type":
"message", "usage": { "input_tokens": 31, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "cache_creation": { "ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 0 }, "output_tokens": 25,
"service_tier": "standard" } }

Error response:

4XX: { "error": { "message": "Invalid request", "type": "invalid_request_error" }, "request_id": "", "type": "error" }

Model architecture

Please refer to the Claude Opus 4.6 system card .

Long context

Claude Opus 4.6 has a 1M token context window.

Optimizing model performance

Please refer to the Claude Opus 4.6 system card .

Additional assets

  • Claude Documentation : Visit Claude documentation for a wealth of resources on model capabilities, prompting techniques, use case guidelines, and more.
  • Adaptive Thinking Guide : Understand how best to use extended thinking with Claude.
  • Claude Prompting Resources : Check out Anthropic's prompting tools and guides to learn how to craft prompts that elicit more helpful, nuanced responses.
  • Claude Cookbooks : Check out example code for a variety of complex tasks, such as RAG from various web sources, making SQL queries, function calling, multimodal prompting, and more.

Distribution channels

  • Claude API: For developers interested in building agents, Claude Opus 4.6 is available on the Claude Developer Platform.
  • Claude Code: Use Claude Opus 4.6 with Anthropic’s industry-leading coding agent, Claude Code.

More information

Data handling

By default, we may process customer data in select countries in the US, Europe, Asia and Australia. We will only store data in data centers located in the United States. For more on data handling and retention, see our Privacy Center.
By default, we will not use your inputs or outputs from our commercial products (Anthropic API and Claude Code Enterprise) to train our models. If you explicitly report feedback or bugs to us or otherwise choose to allow us to use your data, then we may use your chats and coding sessions to train our models.
To find out more information regarding your use of an Anthropic commercial offering, or if you would like to know how to contact us regarding a privacy related topic, see our Trust Center and Commercial Terms.

Responsible AI considerations

Safety techniques

The Claude Opus 4.6 system card describes in detail the wide range of evaluations Anthropic ran to assess the model’s safety and alignment.

Safety evaluations

Claude Opus 4.6 represents incremental improvements over Claude Opus 4.5, with enhancements in reasoning quality, instruction-following, and overall performance. The Claude Opus 4.6 system card details comprehensive safety evaluations including safeguards testing, agentic safety evaluations for computer use and coding capabilities, assessments of reward hacking behavior, Usage Policy compliance testing, alignment evaluations covering a range of misalignment risks, and model welfare assessments. It also includes capability evaluations related to the production of certain harmful technologies, in line with our Responsible Scaling Policy commitments.

Known limitations

Please refer to the Claude Opus 4.6 system card .

Acceptable use

Acceptable use policy

Anthropic’s Usage Policy is intended to help users stay safe and promote the responsible use of Anthropic products and services.

Terms of Service

Terms of Service Link

Claude is a proprietary model developed by Anthropic. Usage is governed by Anthropic's Commercial Terms of Service for API access.

Quality and performance evaluations

BenchmarkTest nameClaude Opus 4.6 score
Agentic terminal codingTerminal-Bench 2.065.4%
Agentic codingSWE-bench Verified80.8%
Agentic computer useOSWorld72.7%
Agentic tool useτ2-benchTelecom: 99.3%, Retail: 91.9%
Agentic searchBrowseComp84.0%
Multidisciplinary reasoningHumanity’s Last ExamWithout tools: 40.0%, With tools: 53.1%
Agentic financial analysisFinanceAgent60.7%
Office tasksGDPVal-AA Elo1606
Novel problem solvingARC AGI 268.8%
Graduate-level reasoningGPQA Diamond91.3%
Visual reasoningMMMU ProWithout tools: 73.9%, With tools: 77.3%
Multilingual Q&AMMMLU91.1%
Scaled tool useMCP Atlas59.5%

Benchmarking methodology

Please refer to the Claude Opus 4.6 system card for benchmarking methodology.

Public data summary

NA
Model Specifications
Context Length1000000
Quality Index0.82
Training DataAugust 2025
Last UpdatedMay 2026
Input TypeText,Image,Code
Output TypeText,Image,Code
ProviderAnthropic
Languages8 Languages
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