Claude Opus 4.6
Version: 1
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.
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 2025Input 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
GlobalSample 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
| Benchmark | Test name | Claude Opus 4.6 score |
|---|---|---|
| Agentic terminal coding | Terminal-Bench 2.0 | 65.4% |
| Agentic coding | SWE-bench Verified | 80.8% |
| Agentic computer use | OSWorld | 72.7% |
| Agentic tool use | τ2-bench | Telecom: 99.3%, Retail: 91.9% |
| Agentic search | BrowseComp | 84.0% |
| Multidisciplinary reasoning | Humanity’s Last Exam | Without tools: 40.0%, With tools: 53.1% |
| Agentic financial analysis | FinanceAgent | 60.7% |
| Office tasks | GDPVal-AA Elo | 1606 |
| Novel problem solving | ARC AGI 2 | 68.8% |
| Graduate-level reasoning | GPQA Diamond | 91.3% |
| Visual reasoning | MMMU Pro | Without tools: 73.9%, With tools: 77.3% |
| Multilingual Q&A | MMMLU | 91.1% |
| Scaled tool use | MCP Atlas | 59.5% |
Benchmarking methodology
Please refer to the Claude Opus 4.6 system card for benchmarking methodology.Public data summary
NAModel 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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