Introducing Claude Opus 4.5 in Microsoft Foundry
For enterprise teams, the important shift is not just model quality but where control sits in the stack. Putting Claude Opus 4.5 into Microsoft Foundry means architects can evaluate one more frontier model inside a managed platform rather than stitching together separate inference, identity, and deployment layers. That changes procurement, integration effort, and how quickly teams can standardize on a model portfolio for different workloads.
The operational question is how to make agentic systems predictable enough for production. Features such as tool calling, tool discovery, compaction handling, and effort controls matter because they affect latency, token consumption, and workflow reliability. For long-running automations, these controls can reduce brittle orchestration code, but they also require teams to define clear policies for when an agent should think longer, call external systems, or stop and hand off.
Security and governance remain the gating factors for real deployment. Model improvements alone do not eliminate the need for prompt-injection defenses, access boundaries, audit trails, and approval paths around sensitive actions. In practice, Foundryโs value will depend on how well organizations connect model usage to existing observability, compliance, and incident-response processes without creating a parallel AI shadow stack.
For platform teams, the architectural trade-off is flexibility versus standardization. A broader model choice can improve fit across coding, support, analysis, and desktop automation, but it also raises questions about evaluation, routing, version drift, and cost control. The teams that benefit most will be the ones that treat the model as a governed runtime dependency, not a standalone feature.
Weโre excited to use Anthropic Claude models from Microsoft Foundry. Having Claudeโs advanced reasoning alongside GPT models in one platform gives us flexibility to build scalable, enterprise-grade workflows that move far beyond prototypes. โMichele Catasta, President, Replit
Opus 4.5 for real work
Opus 4.5 sets a new bar for coding, agentic workflows, and enterprise productivity: outperforming Sonnet 4.5 and Opus 4.1, at a more accessible price point. Its versatility across software engineering, complex reasoning, tool use, and vision unlocks new opportunities for organizations to modernize systems, automate critical workstreams, and deliver ROI faster. By prioritizing rapid integration of the latest models, Foundry allows Azure customers to stay ahead of the curve and maximize the impact of their agentic AI systems; all while maintaining centralized governance, security, and observability at scale.1. Built for production engineering and agentic capabilities
According to Anthropic, Opus 4.5 delivers state-of-the-art performance on industry standard software engineering benchmarks, including new highs on SWE-bench (80.9%). Early testers consistently describe the model as being able to interpret ambiguous requirements, reason over architectural tradeoffs, and identify fixes for issues that span multiple systems. Opus 4.5 accelerates engineering velocity by completing multi-day development work in hours with:- Improved multilingual coding performance
- More efficient code generation
- Stronger test coverage
- Cleaner architectural and refactoring choices
| Capability / Benchmark | Claude Opus 4.5 | Claude Sonnet 4.5 | Claude Opus 4.1 | Gemini 3 Pro |
| Agentic coding (SWE-bench Verified) | 80.90% | 77.20% | 74.50% | 76.20% |
| Agentic terminal coding (Terminal-bench 2.0) | 59.30% | 50.00% | 46.50% | 54.20% |
| Agentic tool use โ Retail (t2-bench) | 88.90% | 86.20% | 86.80% | 85.30% |
| Agentic tool use โ Telecom (t2-bench) | 98.20% | 98.00% | 71.50% | 98.00% |
| Scaled tool use (MCP Atlas) | 62.30% | 43.80% | 40.90% | _ |
| Computer use (OSWorld) | 66.30% | 61.40% | 44.40% | _ |
| Novel problem solving (ARC-AGI-2 Verified) | 37.60% | 13.60% | _ | 31.10% |
| Graduate-level reasoning (GPQA Diamond) | 87.00% | 83.40% | 81.00% | 91.90% |
| Visual reasoning (MMMU validation) | 80.70% | 77.80% | 77.10% | _ |
| Multilingual Q&A (MMLU) | 90.80% | 89.10% | 89.50% | 91.80% |
- Programmatic Tool Calling: Execute tools directly in Python for more efficient, deterministic workflows.
- Tool Search: Dynamically discover tools from large libraries without using up space in the context window.
- Tool Use Examples: More accurate tool calling for complex tool schemas.
Manus deeply utilizes Anthropicโs Claude models because of their strong capabilities in coding and long-horizon task planning, together with their prowess to handle agentic tasks. We are very excited to be using them now on Microsoft Foundry! โTao Zhang, Co-founder & Chief Product Officer, Manus AI
2. Improved developer experience on Foundry
Opus 4.5 paired with new developer capabilities offered on Foundry is designed to help teams build more effective and efficient agentic systems:- Effort Parameter (Beta): Control how much computational effort Claude allocates across thinking, tool calls, and responses to balance performance with latency and cost for your specific use cases.
- Compaction Control: Handle long-running agentic tasks more effectively with new SDK helpers that manage context efficiently over extended interactions.
3. Enhanced office productivity and computer use
Opus 4.5 also doubles down as Anthropicโs best vision model, unlocking workflows that depend on complex visual interpretation and multi-step navigation. Computer use performance has improved significantly, enabling more reliable automation of desktop tasks. For knowledge workers, the model delivers a step-change improvement in powering agents that create spreadsheets, presentations, and documents. It produces work with consistency, professional polish, and genuine domain awareness making it a fit for finance, legal, and other precision-critical verticals. The model better leverages memory to maintain context and consistency across files throughout sprawling professional projects.4. Safety and security
According to Anthropic, Opus 4.5 also delivers meaningful improvements in safety and security. The model shows a reduced rate of misaligned responses, stronger robustness against prompt-injection attacks, and more reliable behavior across complex tasks. These improvements align with Microsoftโs commitment to providing enterprise customers with models that meet high bars for safety, governance, and operational integrityUse cases
Opus 4.5 serves the following use cases- Software development: Deploy agents that handle complex, multi-system development tasks with minimal supervision.
- Financial analysis: Connect insights across regulatory filings, market reports, and internal data for sophisticated predictive modeling and proactive compliance monitoring.
- Cybersecurity: Correlate logs, vulnerability databases, and threat intelligence for professional-grade threat detection and automated incident response.
- Enterprise operations: Manage sophisticated workflows requiring coordination across multiple tools, systems, and information sources.
Pricing and availability
Opus 4.5 delivers frontier performance and sets a new standard for a variety of use cases at one third the price of previous Opus-class models.| Model | Offer type |
Deployment type |
Regions | Price (1M tokens) |
Availability |
| Claude Opus 4.5 | Serverless Pay-go | Global Standard | East US2, Sweden Central | Input- $5 Output- $25 |
November 24, 2025 (public preview) |
Get started today
Claude Opus 4.5 is available now in Original Postroducts/ai-foundry/" shape="rect">Microsoft Foundry and coming soon in Visual Studio Code via the Foundry extension. Visit the Foundry portal to begin building with Opus 4.5. The post Introducing Claude Opus 4.5 in Microsoft Foundry appeared first on Microsoft Azure Blog.Introducing Claude Opus 4.5 in Microsoft Foundry
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