Announcing GPT‑5.2‑Codex in Microsoft Foundry: Enterprise‑Grade AI for Secure Software Engineering
Enterprise developers know the grind: wrestling with legacy code, navigating complex dependency challenges, and waiting on security reviews that stall releases. OpenAI’s GPT‑5.2‑Codex flips that equation and helps engineers ship faster without cutting corners. It’s not just autocomplete; it’s a reasoning engine for real-world software engineering. Generally available starting today through Azure OpenAI in Microsoft Foundry Models, GPT‑5.2‑Codex is built for the realities of enterprise codebases, large repos, evolving requirements, and security constraints that can’t be overlooked. As OpenAI’s most advanced agentic coding model, it brings sustained reasoning, and security-aware assistance directly into the workflows enterprise developers already rely on with Microsoft’s secure and reliable infrastructure. GPT-5.2-Codex at a Glance GPT‑5.2‑Codex is designed for how software gets built in enterprise teams. You start with imperfect inputs including legacy code, partial docs, screenshots, diagrams, and work through multi‑step changes, reviews, and fixes. The model helps keep context, intent, and standards intact across that entire lifecycle, so teams can move faster without sacrificing quality or security. What it enables Work across code and artifacts: Reason over source code alongside screenshots, architecture diagrams, and UI mocks — so implementation stays aligned with design intent. Stay productive in long‑running tasks: Maintain context across migrations, refactors, and investigations, even as requirements evolve. Build and review with security in mind: Get practical support for secure coding patterns, remediation, reviews, and vulnerability analysis — where correctness matters as much as speed. Feature Specs (quick reference) Context window: 400K tokens (approximately 100K lines of code) Supported languages: 50+ including Python, JavaScript/TypeScript, C#, Java, Go, Rust Multimodal inputs: Code, images (UI mocks, diagrams), and natural language API compatibility: Drop-in replacement for existing Codex API calls Use cases where it really pops Legacy modernization with guardrails: Safely migrate and refactor “untouchable” systems by preserving behavior, improving structure, and minimizing regression risk. Large‑scale refactors that don’t lose intent: Execute cross‑module updates and consistency improvements without the typical “one step forward, two steps back” churn. AI‑assisted code review that raises the floor: Catch risky patterns, propose safer alternatives, and improve consistency, especially across large teams and long‑lived codebases. Defensive security workflows at scale: Accelerate vulnerability triage, dependency/path analysis, and remediation when speed matters, but precision matters more. Lower cognitive load in long, multi‑step builds: Keep momentum across multi‑hour sessions: planning, implementing, validating, and iterating with context intact. Pricing Model Input Price/1M Tokens Cached Input Price/1M Tokens Output Price/1M Tokens GPT-5.2-Codex $1.75 $0.175 $14.00 Security Aware by Design, not as an Afterthought For many organizations, AI adoption hinges on one nonnegotiable question: Can this be trusted in security sensitive workflows? GPT-5.2-Codex meaningfully advances the Codex lineage in this area. As models grow more capable, we’ve seen that general reasoning improvements naturally translate into stronger performance in specialized domains — including defensive cybersecurity. With GPT‑5.2‑Codex, this shows up in practical ways: Improved ability to analyze unfamiliar code paths and dependencies Stronger assistance with secure coding patterns and remediation More dependable support during code reviews, vulnerability investigations, and incident response At the same time, Microsoft continues to deploy these capabilities thoughtfully balancing access, safeguards, and platform level controls so enterprises can adopt AI responsibly as capabilities evolve. Why Run GPT-5.2-Codex on Microsoft Foundry? Powerful models matter — but where and how they run matters just as much for enterprise. Organizations choose Microsoft Foundry because it combines Foundry frontier AI with Azure enterprise grade fundamentals: Integrated security, compliance, and governance Deploy GPT-5.2-Codex within existing Azure security boundaries, identity systems, and compliance frameworks — without reinventing controls. Enterprise ready orchestration and tooling Build, evaluate, monitor, and scale AI powered developer experiences using the same platform teams already rely on for production workloads. A unified path from experimentation to scale Foundry makes it easier to move from proof of concept to real deployment —without changing platforms, vendors, or operating assumptions. Trust at the platform level For teams working in regulated or security critical environments, Foundry and Azure provide assurances that go beyond the model itself. Together with GitHub Copilot, Microsoft Foundry provides a unified developer experience — from in‑IDE assistance to production‑grade AI workflows — backed by Azure’s security, compliance, and global scale. This is where GPT-5.2-Codex becomes not just impressive but adoptable. Get Started Today Explore GPT‑5.2‑Codex in Microsoft today. Start where you already work: Try GPT‑5.2‑Codex in GitHub Copilot for everyday coding and scale the same model to larger workflows using Azure OpenAI in Microsoft Foundry. Let’s build what’s next with speed and security.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.New Azure Open AI models bring fast, expressive, and real‑time AI experiences in Microsoft Foundry
Modern AI applications, whether voice‑first experiences or building large software systems, rarely fit into a single prompt. Real work unfolds over time: maintaining context, following instructions, invoking tools, and adapting as requirements evolve. When these foundations break down through latency spikes, instruction drift, or unreliable tool calls, both user conversations and developer workflows are impacted. OpenAI’s latest models address this shared challenge by prioritizing continuity and reliability across real‑time interaction and long‑running engineering tasks. Starting today, GPT-Realtime-1.5, GPT-Audio-1.5, and GPT-5.3-Codex are rolling out into Microsoft Foundry. Together, these models reflect the growing needs of the modern developer and push the needle from short, stateless interactions toward AI systems that can reason, act, and collaborate over time. GPT-5.3-Codex at a glance GPT‑5.3‑Codex brings together advanced coding capability with broader reasoning and professional problem solving in a single model built for real engineering work. It unifies the frontier coding performance of GPT-5.2-Codex with the reasoning and professional knowledge capabilities of GPT5.2 in one system. This shifts the experience from optimizing isolated outputs to supporting longer running development efforts; where repositories are large, changes span multiple steps, and requirements aren’t always fully specified at the start. What’s improved Model experiences 25% faster execution time, according to Open AI, than its predecessors so developers can accelerate development of new applications. Built for long-running tasks that involve research, tool use, and complex, multi‑step execution while maintaining context. Midtask steerability and frequent updates allow developers to redirect and collaborate with the model as it works without losing context. Stronger computer-use capabilities allow developers to execute across the full spectrum of technical work. Common use cases Developers and teams can apply GPT‑5.3‑Codex across a wide range of scenarios, including: Refactoring and modernizing large or legacy applications Performing multi‑step migrations or upgrades Running agentic developer workflows that span analysis, implementation, testing, and remediation Automating code reviews, test generation, and defect detection Supporting development in security‑sensitive or regulated environments Pricing Model Input Price/1M Tokens Cached Input Price/1M Tokens Output Price/1M Tokens GPT-5.3-Codex $1.75 $0.175 $14.00 GPT-Realtime-1.5 and GPT-Audio-1.5 at a glance The models deliver measurable gains in reasoning and speech understanding for real‑time voice interactions on Microsoft Foundry. In OpenAI’s evaluations, it shows a +5% lift on Big Bench Audio (reasoning), a +10.23% improvement in alphanumeric transcription, and a +7% gain in instruction following, while maintaining low‑latency performance. Key improvements include: What's improved More natural‑sounding speech: Audio output is smoother and more conversational, with improved pacing and prosody. Higher audio quality: Clearer, more consistent audio output across supported voices. Improved instruction following: Better alignment with developer‑provided system and user instructions during live interactions. Function calling support: Enables structured, tool‑driven interactions within real‑time audio flows. Common use cases Developers are using GPT-Realtime-1.5 and GPT-Audio-1.5 for scenarios where low‑latency voice interaction is essential, including: Conversational voice agents for customer support or internal help desks Voice‑enabled assistants embedded in applications or devices Live voice interfaces for kiosks, demos, and interactive experiences Hands‑free workflows where audio input and output replace keyboard interaction Pricing Model Text Audio Image Input Cached Input Output Input Cached Input Output Input Cached Input Output GPT-Realtime-1.5 $4.00 $0.04 $16.0 $32.0 $0.40 $64.00 $4.00 $0.04 $16.0 GPT-Audio-1.5 $2.50 n/a $10.0 $32.00 n/a $64.00 $2.50 n/a $10.0 Getting started in Microsoft Foundry Start building in Microsoft Foundry, evaluate performance, and explore Azure Open AI models today. Foundry brings evaluation, deployment, and governance into a single workflow, helping teams progress from experiments to scalable applications while maintaining security and operational controls.Introducing OpenAI’s GPT-image-1.5 in Microsoft Foundry
Developers building with visual AI can often run into the same frustrations: images that drift from the prompt, inconsistent object placement, text that renders unpredictably, and editing workflows that break when iterating on a single asset. That’s why we are excited to announce OpenAI's GPT Image 1.5 is now generally available in Microsoft Foundry. This model can bring sharper image fidelity, stronger prompt alignment, and faster image generation that supports iterative workflows. Starting today, customers can request access to the model and start building in the Foundry platform. Meet GPT Image 1.5 AI driven image generation began with early models like OpenAI's DALL-E, which introduced the ability to transform text prompts into visuals. Since then, image generation models have been evolving to enhance multimodal AI across industries. GPT Image 1.5 represents continuous improvement in enterprise-grade image generation. Building on the success of GPT Image 1 and GPT Image 1 mini, these enhanced models introduce advanced capabilities that cater to both creative and operational needs. The new image models offer: Text-to-image: Stronger instruction following and highly precise editing. Image-to-image: Transform existing images to iteratively refine specific regions Improved visual fidelity: More detailed scenes and realistic rendering. Accelerated creation times: Up to 4x faster generation speed. Enterprise integration: Deploy and scale securely in Microsoft Foundry. GPT Image 1.5 delivers stronger image preservation and editing capabilities, maintaining critical details like facial likeness, lighting, composition, and color tone across iterative changes. You’ll see more consistent preservation of branded logos and key visuals, making it especially powerful for marketing, brand design, and ecommerce workflows—from graphics and logo creation to generating full product catalogs (variants, environments, and angles) from a single source image. Benchmarks Based on an internal Microsoft dataset, GPT Image 1.5 performs higher than other image generation models in prompt alignment and infographics tasks. It focuses on making clear, strong edits – performing best on single-turn modification, delivering the higher visual quality in both single and multi-turn settings. The following results were found across image generation and editing: Text to image Prompt alignment Diagram / Flowchart GPT Image 1.5 91.2% 96.9% GPT Image 1 87.3% 90.0% Qwen Image 83.9% 33.9% Nano Banana Pro 87.9% 95.3% Image editing Evaluation Aspect Modification Preservation Visual Quality Face Preservation Metrics BinaryEval SC (semantic) DINO (Visual) BinaryEval AuraFace Single-turn GPT image 1 99.2% 51.0% 0.14 79.5% 0.30 Qwen image 81.9% 63.9% 0.44 76.0% 0.85 GPT Image 1.5 100% 56.77% 0.14 89.96% 0.39 Multi-turn GPT Image 1 93.5% 54.7% 0.10 82.8% 0.24 Qwen image 77.3% 68.2% 0.43 77.6% 0.63 GPT image 1.5 92.49% 60.55% 0.15 89.46% 0.28 Using GPT Image 1.5 across industries Whether you’re creating immersive visuals for campaigns, accelerating UI and product design, or producing assets for interactive learning GPT Image 1.5 gives modern enterprises the flexibility and scalability they need. Image models can allow teams to drive deeper engagement through compelling visuals, speed up design cycles for apps, websites, and marketing initiatives, and support inclusivity by generating accessible, high‑quality content for diverse audiences. Watch how Foundry enables developers to iterate with multimodal AI across Black Forest Labs, OpenAI, and more: Microsoft Foundry empowers organizations to deploy these capabilities at scale, integrating image generation seamlessly into enterprise workflows. Explore the use of AI image generation here across industries like: Retail: Generate product imagery for catalogs, e-commerce listings, and personalized shopping experiences. Marketing: Create campaign visuals and social media graphics. Education: Develop interactive learning materials or visual aids. Entertainment: Edit storyboards, character designs, and dynamic scenes for films and games. UI/UX: Accelerate design workflows for apps and websites. Microsoft Foundry provides security and compliance with built-in content safety filters, role-based access, network isolation, and Azure Monitor logging. Integrated governance via Azure Policy, Purview, and Sentinel gives teams real-time visibility and control, so privacy and safety are embedded in every deployment. Learn more about responsible AI at Microsoft. Pricing Model Pricing (per 1M tokens) - Global GPT-image-1.5 Input Tokens: $8 Cached Input Tokens: $2 Output Tokens: $32 Cost efficiency improves as well: image inputs and outputs are now cheaper compared to GPT Image 1, enabling organizations to generate and iterate on more creative assets within the same budget. For detailed pricing, refer here. Getting started Learn more about image generation, explore code samples, and read about responsible AI protections here. Try GPT Image 1.5 in Microsoft Foundry and start building multimodal experiences today. Whether you’re designing educational materials, crafting visual narratives, or accelerating UI workflows, these models deliver the flexibility and performance your organization needs.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.Stop Drawing Architecture Diagrams Manually: Meet the Open-Source AI Architecture Review Agents
Designing and documenting software architecture is often a battle against static diagrams that become outdated the moment they are drawn. The Architecture Review Agent changes that by turning your design process into a dynamic, AI-powered workflow. In this post, we explore how to leverage Microsoft Foundry Hosted Agents, Azure OpenAI, and Excalidraw to build an open-source tool that instantly converts messy text descriptions, YAML, or README files into editable architecture diagrams. Beyond just drawing boxes, the agent acts as a technical co-pilot, delivering prioritized risk assessments, highlighting single points of failure, and mapping component dependencies. Discover how to eliminate manual diagramming, catch security flaws early, and deploy your own enterprise-grade agent with zero infrastructure overhead.Open AI’s GPT-5.1-codex-max in Microsoft Foundry: Igniting a New Era for Enterprise Developers
Announcing GPT-5.1-codex-max: The Future of Enterprise Coding Starts Now We’re thrilled to announce the general availability of OpenAI's GPT-5.1-codex-max in Microsoft Foundry Models; a leap forward that redefines what’s possible for enterprise-grade coding agents. This isn’t just another model release; it’s a celebration of innovation, partnership, and the relentless pursuit of developer empowerment. At Microsoft Ignite, we unveiled Microsoft Foundry: a unified platform where businesses can confidently choose the right model for every job, backed by enterprise-grade reliability. Foundry brings together the best from OpenAI, Anthropic, xAI, Black Forest Labs, Cohere, Meta, Mistral, and Microsoft’s own breakthroughs, all under one roof. Our partnership with Anthropic is a testament to our commitment to giving developers access to the most advanced, safe, and high-performing models in the industry. And now, with GPT-5.1-codex-max joining the Foundry family, the possibilities for intelligent applications and agentic workflows have never been greater. GPT 5.1-codex-max is available today in Microsoft Foundry and accessible in Visual Studio Code via the Foundry extension . Meet GPT-5.1-codex-max: Enterprise-Grade Coding Agent for Complex Projects GPT-5.1-codex-max is engineered for those who build the future. Imagine tackling complex, long-running projects without losing context or momentum. GPT-5.1-codex-max delivers efficiency at scale, cross-platform readiness, and proven performance with top scores on SWE-Bench (77.9), the gold standard for AI coding. With GPT-5.1-codex-max, developers can focus on creativity and problem-solving, while the model handles the heavy lifting. GPT-5.1-codex-max isn’t just powerful; it’s practical, designed to solve real challenges for enterprise developers: Multi-Agent Coding Workflows: Automate repetitive tasks across microservices, maintaining shared context for seamless collaboration. Enterprise App Modernization: Effortlessly refactor legacy .NET and Java applications into cloud-native architectures. Secure API Development: Generate and validate secure API endpoints, with `compliance checks built-in for peace of mind. Continuous Integration Support: Integrate GPT-5.1-codex-max into CI/CD pipelines for automated code reviews and test generation, accelerating delivery cycles. These use cases are just the beginning. GPT-5.1-codex-max is your partner in building robust, scalable, and secure solutions. Foundry: Platform Built for Developers Who Build the Future Foundry is more than a model catalog—it’s an enterprise AI platform designed for developers who need choice, reliability, and speed. • Choice Without Compromise: Access the widest range of models, including frontier models from leading model providers. • Enterprise-Grade Infrastructure: Built-in security, observability, and governance for responsible AI at scale. • Integrated Developer Experience: From GitHub to Visual Studio Code, Foundry connects with tools developers love for a frictionless build-to-deploy journey. Start Building Smarter with GPT-5.1-codex-max in Foundry The future is here, and it’s yours to shape. Supercharge your coding workflows with GPT-5.1-codex-max in Microsoft Foundry today. Learn more about Microsoft Foundry: aka.ms/IgniteFoundryModels. Watch Ignite sessions for deep dives and demos: ignite.microsoft.com. Build faster, smarter, and with confidence on the platform redefining enterprise AI.Unlocking Document Understanding with Mistral Document AI in Microsoft Foundry
Enterprises today face a familiar yet formidable challenge: mountains of documents -contracts, invoices, reports, forms - remain locked in unstructured formats. Traditional OCR (optical character recognition) captures text, but often struggles with context, layout complexity, or multilingual content. The result? Slow workflows, error-prone manual reviews, and missed insights. Enter mistral-document-ai-2512 in Microsoft Foundry. This new model brings together high-end OCR using mistral-ocr-2512 and intelligent document understanding using mistral-small-2506 to turn unstructured documents into actionable data. It doesn’t just “read” pages - it understands them: multi-column layouts, handwritten annotations, tables with merging cells, multilingual content-all processed with enterprise-grade speed and precision. In this blog, we’ll explore what Mistral Document AI 2512 is, why it matters, how it stacks up, and the business impact it promises, especially when paired with solution accelerators like ARGUS. Meet Mistral Document AI Mistral Document AI is an enterprise-grade document understanding model, offered via Microsoft Foundry. It’s built to convert both physical (scans, photos) and digital (PDFs, DOCX) documents into highly structured, machine-readable outputs. Key features include: Top-tier accuracy: According to benchmarks, Mistral’s OCR 2512 stacks display significantly higher accuracy than many alternatives, especially on scanned documents and complex layouts. For example, in comparisons it achieved ~95.9 % “overall” vs ~89-91 % for other platforms Global / multilingual reach: In language-by-language tests (Russian, French, German, Spanish, Chinese, etc), Mistral’s error-rate/fuzzy-match metrics reached 99 %+ in many cases Layout & context awareness: It’s built to not just extract linear text but understand multi-column layouts, tables, charts, images, handwritten input and more Structured output functionality: The model supports structured extraction (JSON), markup (Markdown with interleaved images), preserving document structure for downstream systems Enterprise-ready deployment: With availability via Microsoft Foundry and support for private/secure inference, the model is geared for regulated industries and high-volume workflows Putting it another way: where traditional OCR stops at “here’s the raw text on page 7”, Mistral DocumentAI 2512 can say “here’s the vendor invoice, here are line-items, here’s the total, here’s the signature block, and here’s the part that was handwritten”, ready to plug into downstream systems. Business Impact & Industry examples Mistral Document AI isn’t just another OCR tool; it’s a strategic enabler that turns document-heavy operations into intelligent, automated workflows. The business value comes down to four key advantages: Speed and efficiency: Automating document understanding eliminates manual reviews and retyping. Tasks that took days can be done in minutes, accelerating core business processes Accuracy and consistency: With 99 %+ recognition accuracy and deep layout understanding, Mistral delivers cleaner data and fewer downstream errors - essential in compliance-critical or analytics-driven operations Cost and productivity gains: Reducing manual extraction frees teams for higher-value work, cutting operational costs while increasing output per employee Scalability and adaptability: Cloud-native performance allows organizations to scale document processing instantly during peak loads, across multiple languages and formats, without sacrificing quality Overall, mistral-document-ai-2512 excels where consistency and quality are critical. Industry and Use Cases In regulated industries or big-data scenarios, even a small improvement in accuracy or speed can translate into substantial business gains. Its benchmarks indicate not just incremental progress, but a major step forward - giving enterprises a powerful new engine for their document workflows. Here’s where that impact becomes tangible: Financial services: Banks and insurers handle vast document volumes - loan applications, KYC forms, and claims reports - where data integrity and auditability are non-negotiable. Mistral automates extraction, classification, and clause identification across diverse formats, improving turnaround time and compliance accuracy while reducing manual handling costs Healthcare & life sciences: Clinical records, lab results, and insurance claims often combine handwritten, tabular, and multi-language content. Mistral’s layout awareness and multilingual support ensure clean, structured datasets for downstream analytics and regulatory submissions Manufacturing & logistics: From quality certificates to shipping manifests, Mistral streamlines the flow of operational documents. It can extract production parameters, vendor data, and timestamps at scale - building a unified, queryable data layer that supports supply chain traceability Legal & public sector: Legal teams and agencies depend on consistency and transparency. Mistral helps index, summarise, and validate contracts or permits with full structural fidelity - dramatically cutting review cycles while maintaining evidential quality Retail & consumer goods: Retailers process supplier invoices, product specifications, and marketing briefs from global partners. With Mistral’s multilingual precision and structure preservation, global document flows become searchable and analytics-ready Across these industries, the result is the same: cleaner data, faster throughput, and fewer human errors - the foundation for more reliable decisions and more agile operations. Pricing Argus – A ready-to-implement accelerator to start using Mistral Document AI To spin up a solution faster, one can leverage solution accelerators such as ARGUS (open-source repository available on GitHub). ARGUS serves as a full-pipeline implementation: from document ingestion, OCR/extraction (via Mistral Document AI), to downstream processing and structured output. It shows how to deploy end-to-end, integrate with storage, preprocess documents, handle large-scale batches, output JSON schemas, and integrate into existing business workflows. Mistral Document AI Integration ARGUS now offers flexible OCR provider selection with Mistral Document AI as one of the several options. This enhancement gives you the freedom to choose the best OCR engine for your specific document processing needs. Key Features: Dual Provider Support: Toggle between Azure Document Intelligence (default) and Mistral Document AI Runtime Switching: Change OCR providers on-the-fly through the Settings UI without redeployment Simple Configuration: Set up Mistral via environment variables (OCR_PROVIDER, MISTRAL_DOC_AI_ENDPOINT, MISTRAL_DOC_AI_KEY) or the web interface Seamless Integration: Both providers expose the same interface, ensuring consistent behavior across your document processing pipeline Why This Matters: Different OCR engines excel at processing different document content. Azure Document Intelligence offers enterprise-grade form and table recognition, while Mistral Document AI 2512, in addition, enables extraction to structured JSON with customizable schemas, document classification, and image processing—including text, charts, and signatures. It can convert charts into tables, extract fine print from figures, and even define custom image types for specialized workflows. Now you can select the optimal provider for each use case. In effect, instead of building from scratch, ARGUS gives you the legs to run: pipeline orchestration, ingestion, error-handling, schema-mapping, output integration-all wired to Mistral’s engine. This significantly accelerates time-to-value and reduces risk for enterprise adopters. Getting Started: Navigate to the ARGUS frontend interface (Streamlit app) and click on the Settings tab. In the OCR Provider Configuration section, select your preferred provider. If using Mistral, enter your endpoint URL, API key, and model name. Click Update OCR Provider to apply changes immediately—no restart required. All new document processing will use your selected OCR engine. If your organization is looking to unlock document intelligence, here’s a structured path: Explore Mistral Document AI via Microsoft Foundry: Browse the model card, review endpoint specs, try sample documents to test accuracy and extraction structure Deploy and Pilot with ARGUS: Use the GitHub repo to spin up an end-to-end pipeline on a small workload (e.g., a batch of invoices or contracts) and compare manual vs AI-driven throughput and error-rates Define business value metrics: Track processing time, error rate, manual hours saved, and downstream impact (faster decision cycles, fewer reworks). Scale and govern: Once pilot proves value, expand into multiple document types, languages, geographies - and ensure governance (data handling, compliance, model-monitoring) Embed continuous improvement: As usage grows, feed back learnings, tune schema definitions, refine extraction rules, and extend into QA, insights or analytics layers Conclusion In today’s data-rich but document-heavy environment, the ability to truly understand documents (and not just digitize them) is becoming a strategic imperative. Mistral Document AI represents a next-generation shift: accurate, layout-aware, multilingual, structured. When paired with accelerators like ARGUS, enterprises can move from manual bottlenecks to streamlined, insight-rich document workflows. If you’re thinking about unlocking the value buried in your documents-be it invoices, contracts, forms or reports, now is the time. With mistral-document-ai-2512, what used to be a cost-center is now a potential performance lever. Ready to get started? Explore the model, and let your documents begin talking back.Introducing GPT-5.3 Chat in Microsoft Foundry: A more grounded way to chat at enterprise scale
OpenAI’s GPT‑5.3 Chat marks the next step in the GPT‑5 series, designed to deliver more dependable, context‑aware chat experiences for enterprise workloads. The model emphasizes steadier instruction handling and clearer responses, supporting high‑volume, real‑world conversations with greater consistency. GPT‑5.3 Chat is now available via API in Microsoft Foundry, where teams will be able to deploy production‑ready chat and agent experiences that are standardized, governed, and built to scale across the enterprise. What’s new in GPT‑5.3 Chat GPT‑5.3 Chat centers on predictable behavior, relevance, and response quality, helping teams build chat experiences that operate reliably across end‑to‑end workflows while aligning with enterprise safety and compliance expectations. Fewer dead ends, more resolved conversations Reduces unnecessary refusals by responding more proportionately when safe context is available Supports compliant reformulation to keep interactions moving forward Enables end‑to‑end resolution in support, IT, and policy‑driven workflows Grounded answers you can operationalize Combines built‑in web search with model reasoning to surface relevant, actionable information Prioritizes relevance and context over long lists of loosely related results Keeps responses actionable while maintaining enterprise controls and traceability Consistent outputs at scale Improved tone, explanation quality, and instruction following Easier to template, govern, and monitor across apps Less downstream cleanup as usage scales Built for production in Microsoft Foundry Production‑grade infrastructure Observability, failover, quota management, and performance monitoring Designed for real workloads—not experiments Consistent behavior across regions and use cases without re‑architecting Smarter scaling with quota tiers Automatic quota increases with sustained usage Fewer rate‑limit interruptions as demand grows Flexible tiers from Free through Tier 6 Security and compliance by default Identity, access controls, policy enforcement, and data boundaries built in Meets regulated‑industry requirements out of the box Teams can move fast without compromising trust GPT-5.3 Chat in Microsoft Foundry is priced at $1.75 per million input tokens, $0.175 per million cached input tokens, and $14.00 per million output tokens. Ready to build with GPT‑5.3 Chat in Foundry? Start turning reliable conversations into real applications. Explore GPT-5.3 Chat in Microsoft Foundry and begin building production ready‑ chat and agent experiences today.
