Introducing Cohere Rerank 4.0 in Microsoft Foundry
These new retrieval models deliver state-of-the-art accuracy, multilingual coverage across 100+ languages, and breakthrough performance for enterprise search and retrieval-augmented generation (RAG) systems. With Rerank 4.0, customers can dramatically improve the quality of search, reduce hallucinations in RAG applications, and strengthen the reasoning capabilities of their AI agents, all with just a few lines of code. Why Rerank Models Matter for Enterprise AI Retrieval is the foundation of grounded AI systems. Whether you are building an internal assistant, a customer-facing chatbot, or a domain-specific knowledge engine, the quality of the retrieved documents determines the quality of the final answer. Traditional embeddings get you close, but reranking is what gets you the right answer. Rerank improves this step by reading both the query and document together (cross-encoding), producing highly precise semantic relevance scores. This means: More accurate search results More grounded responses in RAG pipelines Lower generative model usage , reducing cost Higher trust and quality across enterprise workloads Introducing Cohere Rerank 4.0 Fast and Rerank 4.0 Pro Microsoft Foundry now offers two versions of Rerank 4.0 to meet different enterprise needs: Rerank 4.0 Fast Best balance of speed and accuracy Same latency as Cohere Rerank 3.5, with significantly higher accuracy Ideal for high-traffic applications and real-time systems Rerank 4.0 Pro Highest accuracy across all benchmarks Excels at complex, reasoning-heavy, domain-specific retrieval Tuned for industries like finance, healthcare, manufacturing, government, and energy Multilingual & Cross-Domain Performance Rerank 4.0 delivers unmatched multilingual and cross-domain performance, supporting more than 100 languages and enabling powerful cross-lingual search across complex enterprise datasets. The models achieve state-of-the-art accuracy in 10 of the world’s most important business languages, including Arabic, Chinese, French, German, Hindi, Japanese, Korean, Portuguese, Russian, and Spanish, making them exceptionally well suited for global organizations with multilingual knowledge bases, compliance archives, or international operations. Effortless Integration: Add Rerank to Any System One of the biggest benefits of Rerank 4.0 is how easy it is to adopt. You can add reranking to: Existing enterprise search Vector DB pipelines Keyword search systems Hybrid retrieval setups RAG architectures Agent workflows No infrastructure changes required. Just a few lines of code.This makes it one of the fastest ways to meaningfully upgrade grounding, precision, and search quality in enterprise AI systems. Better RAG, Better Agents, Better Outcomes In Foundry, customers can pair Cohere Rerank 4.0 with Azure Search, vector databases, Agent Service, Azure Functions, Foundry orchestration, and any LLM—including GPT-4.1, Claude, DeepSeek, and Mistral—to deliver more grounded copilots, higher-fidelity agent actions, and better reasoning from cleaner context windows. This reduces hallucinations, lowers LLM spend, and provides a foundational upgrade for mission-critical AI systems. Built for Enterprise: Security, Observability, Governance As a direct from Azure model, Rerank 4.0 is fully integrated with: Azure role-based access control (RBAC) Virtual network isolation Customer-managed keys Logging & observability Entra ID authentication Private deployments You can run Rerank 4.0 in environments that meet the strictest enterprise security and compliance needs. Optimized for Enterprise Models & High-Value Industries Rerank 4.0 is built for sectors where accuracy matters: Finance - Delivers precise retrieval for complex disclosures, compliance documents, and regulatory filings. Healthcare- Accurately retrieves clinical notes, biomedical literature, and care protocols for safer, more reliable insights. Manufacturing- Surfaces the right engineering specs, manuals, and parts data to streamline operations and reduce downtime. Government & Public Sector - Improves access to policy documents, case archives, and citizen service information with semantic precision. Energy- Understands industrial logs, safety manuals, and technical standards to support safer and more efficient operations. Pricing Model Name Deployment Type Azure Resource Region Price /1K Search Units Availability Cohere Rerank 4.0 Pro Global Standard All regions (Check this page for region details) $2.50 Public Preview, Dec 11, 2025 Cohere Rerank 4.0 Fast Global Standard All regions (Check this page for region details) $2.00 Public Preview, Dec 11, 2025 Get Started Today Cohere Rerank 4.0 Fast and Rerank 4.0 Pro are now available in Microsoft Foundry. Rerank 4.0 is one of the simplest and highest impact upgrades you can make to your enterprise AI stack, bringing better retrieval, better agents, and more trustworthy AI to every application.Announcing Healthcare AI Models in Azure AI Model Catalog
Modern medicine encompasses various data modalities, including medical imaging, genomics, clinical records, and other structured and unstructured data sources. Understanding the intricacies of this multimodal environment, Azure AI onboards specialized healthcare AI models that go beyond traditional text-based applications, providing robust solutions tailored to healthcare's unique challenges.Introducing GPT-5.4 in Microsoft Foundry
Today, we’re thrilled to announce that OpenAI’s GPT‑5.4 is now generally available in Microsoft Foundry: a model designed to help organizations move from planning work to reliably completing it in production environments. As AI agents are applied to longer, more complex workflows; consistency and follow‑through become as important as raw intelligence. GPT‑5.4 combines stronger reasoning with built in computer use capabilities to support automation scenarios, and dependable execution across tools, files, and multi‑step workflows at scale. GPT-5.4: Enhanced Reliability in Production AI GPT-5.4 is designed for organizations operating AI in real production environments, where consistency, instruction adherence, and sustained context are critical to success. The model brings together advances in reasoning, coding, and agentic workflows to help AI systems not only plan tasks but complete them with fewer interruptions and reduced manual oversight. Compared with earlier generations, GPT-5.4 emphasizes stability across longer interactions, enabling teams to deploy agentic AI with greater confidence in day-to-day production use. GPT-5.4 introduces advancements that aim for production grade AI: More consistent reasoning over time, helping maintain intent across multi‑turn and multi‑step interactions Enhanced instruction alignment to reduce prompt tuning and oversight Latency improved performance for responsive, real-time workflows Integrated computer use capabilities for structured orchestration of tools, file access, data extraction, guarded code execution, and agent handoffs More dependable tool invocation reducing prompt tuning and human oversight Higher‑quality generated artifacts, including documents, spreadsheets, and presentations with more consistent structure Together, these improvements support AI systems that behave more predictably as tasks grow in length and complexity. From capability to real-world outcomes GPT‑5.4 delivers practical value across a wide range of production scenarios where follow‑through and reliability are essential: Agent‑driven workflows, such as customer support, research assistance, and business process automation Enterprise knowledge work, including document drafting, data analysis, and presentation‑ready outputs Developer workflows, spanning code generation, refactoring, debugging support, and UI scaffolding Extended reasoning tasks, where logical consistency must be preserved across longer interactions Teams benefit from reduced task drift, fewer mid‑workflow failures, and more predictable outcomes when deploying GPT‑5.4 in production. GPT-5.4 Pro: Deeper analysis for complex decision workflows GPT‑5.4 Pro, a premium variant designed for scenarios where analytical depth and completeness are prioritized over latency. Additional capabilities include: Multi‑path reasoning evaluation, allowing alternative approaches to be explored before selecting a final response Greater analytical depth, supporting problems with trade‑offs or multiple valid solutions Improved stability across long reasoning chains, especially in sustained analytical tasks Enhanced decision support, where rigor and thoroughness outweigh speed considerations Organizations typically select GPT‑5.4 Pro when deeper analysis is required such as scientific research and complex problems, while GPT‑5.4 remains the right choice for workloads that prioritize reliable execution and agentic follow‑through. Microsoft Foundry: Enterprise‑Grade Control from Day One GPT‑5.4 and GPT‑5.4 Pro are available through Microsoft Foundry, which provides the operational controls organizations need to deploy AI responsibly in production environments. Foundry supports policy enforcement, monitoring, version management, and auditability, helping teams manage AI systems throughout their lifecycle. By deploying GPT‑5.4 through Microsoft Foundry, organizations can integrate advanced agentic capabilities into existing environments while aligning with security, compliance, and operational requirements from day one. Customer Spotlight Get Started with GPT-5.4 in Microsoft Foundry GPT‑5.4 sets a new bar for production‑ready AI by combining stronger reasoning with dependable execution. Through enterprise‑grade deployment in Microsoft Foundry, organizations can move beyond experimentation and confidently build AI systems that complete complex work at scale. Computer use capabilities will be introduced shortly after launch. GPT‑5.4 <272K input tokens context length in Microsoft Foundry is priced at $2.50 per million input tokens, $0.25 per million cached input tokens, and $15.00 per million output tokens. The GPT‑5.4 >272K input tokens context length in Microsoft Foundry is priced at $5.00 per million input tokens, $0.50 per million cached input tokens, and $22.50 per million output tokens. The GPT-5.4 is available at launch in Standard Global and Standard Data Zone (US), with additional deployment options coming soon. GPT‑5.4 Pro is priced at $30.00 per million input tokens, and $180.00 per million output tokens, and is available at launch in Standard Global. Build agents for real-world workloads. Start building with GPT‑5.4 in Microsoft Foundry today.Introducing OpenAI's GPT-image-2 in Microsoft Foundry
Take a small design team running a global social campaign. They have the creative vision to produce localized imagery for every market, but not the resources to reshoot, reformat, or outsource that scale. Every asset needs to fit a different platform, a different dimension, a different cultural context, and they all need to ship at the same time. This is where flexible image generation comes in handy. OpenAI's GPT-image-2 is now generally available and rolling out today to Microsoft Foundry, introducing a step change in image generation. Developers and designers now get more control over image output, so a small team can execute with the reach and flexibility of a much larger one. What is new in GPT-image-2? GPT-image-2 brings real world intelligence, multilingual understanding, improved instruction following, increased resolution support, and an intelligent routing layer giving developers the tools to scale image generation for production workflows. Real world intelligence GPT-image-2 has a knowledge cut off of December 2025, meaning that it is able to give you more contextually relevant and accurate outputs. The model also comes with enhanced thinking capabilities that allow it to search the web, check its own outputs, and create multiple images from just one prompt. These enhancements shift image generation models away from being simple tools and runs them into creative sidekicks. Multilingual understanding GPT-image-2 includes increased language support across Japanese, Korean, Chinese, Hindi, and Bengali, as well as new thinking capabilities. This means the model can create images and render text that feels localized. Increased resolution support GPT-image-2 introduces 4K resolution support, giving developers the ability to generate rich, detailed, and photorealistic images at custom dimensions. Resolution guidelines to keep in mind: Constraint Detail Total pixel budget Maximum pixels in final image cannot exceed 8,294,400 Minimum pixels in final image cannot be less than 655,360 Requests exceeding this are automatically resized to fit. Resolutions 4K, 1024x1024, 1536x1024, and 1024x1536 Dimension alignment Each dimension must be a multiple of 16 Note: If your requested resolution exceeds the pixel budget, the service will automatically resize it down. Intelligent routing layer GPT-image-2 also includes an expanded routing layer with two distinct modes, allowing the service to intelligently select the right generation configuration for a request without requiring an explicitly set size value. Mode 1 — Legacy size selection In Mode 1, the routing layer selects one of the three legacy size tiers to use for generation: Size tier Description smimage Small image output image Standard image output xlimage Large image output This mode is useful for teams already familiar with the legacy size tiers who want to benefit from automatic selection without making any manual changes. Mode 2 — Token size bucket selection In Mode 2, the routing layer selects from six token size buckets — 16, 24, 36, 48, 64, 96 — which map roughly to the legacy size tiers: Token bucket Approximate legacy size 16, 24 smimage 36, 48 image 64, 96 xlimage This approach can allow for more flexibility in the number of tokens generated, which in turn helps to better optimize output quality and efficiency for a given prompt. See it in action GPT-image-2 shows improved image fidelity across visual styles, generating more detailed and refined images. But, don’t just take our word for it, let's see the model in action with a few prompts and edits. Here is the example we used: Prompt: Interior of an empty subway car (no people). Wide-angle view looking down the aisle. Clean, modern subway car with seats, poles, route map strip, and ad frames above the windows. Realistic lighting with a slight cool fluorescent tone, realistic materials (metal poles, vinyl seats, textured floor). As you can see, when using the same base prompt, the image quality and realism improved with each model. Now let’s take a look at adding incremental changes to the same image: Prompt: Populate the ad frames with a cohesive ad campaign for “Zava Flower Delivery” and use an array of flower types. And our subway is now full of ads for the new ZAVA flower delivery service. Let's ask for another small change: Prompt: In all Zava Flower Delivery advertisements, change the flowers shown to roses (red and pink roses). And in three simple prompts, we've created a mockup of a flower delivery ad. From marketing material to website creation to UX design, GPT-image-2 now allows developers to deliver production-grade assets for real business use cases. Image generation across industries These new capabilities open the door to richer, more production-ready image generation workflows across a range of enterprise scenarios: Retail & e-commerce: Generate product imagery at exact platform-required dimensions, from square thumbnails to wide banners, without post-processing. Marketing: Produce crisp, rich in color campaign visuals and social assets localized to different markets. Media & entertainment: Generate storyboard panels and scene at resolutions suited to production pipelines. Education & training: Create visual learning aids and course materials formatted to exact display requirements across devices. UI/UX design: Accelerate mockup and prototype workflows by generating interface assets at the precise dimensions your design system requires. Trust and safety At Microsoft, our mission to empower people and organizations remains constant. As part of this commitment, models made available through Foundry undergo internal reviews and are deployed with safeguards designed to support responsible use at scale. Learn more about responsible AI at Microsoft. For GPT-image-2, Microsoft applied an in-depth safety approach that addresses disallowed content and misuse while maintaining human oversight. The deployment combines OpenAI’s image generation safety mitigations with Azure AI Content Safety, including filters and classifiers for sensitive content. Pricing Model Offer type Pricing - Image Pricing - Text GPT-image-2 Standard Global Input Tokens: $8 Cached Input Tokens: $2 Output Tokens: $30 Input Tokens: $5 Cached Input Tokens: $1.25 Output Tokens: $10 Note: All prices are per 1M token. Getting started Whether you’re building a personalized retail experience, automating visual content pipelines or accelerating design workflows. GPT-image-2 gives your team the resolution control and intelligent routing to generate images that fit your exact needs. Try the GPT-image-2 in Microsoft Foundry today! Deploy the model in Microsoft Foundry Experiment with the model in the Image playground Read the documentation to learn more
