Introducing Cohere Command A+ in Foundry

· Source: Microsoft Foundry Blog articles · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Robotics & Autonomous Systems · Depth: Intermediate, short

Summary

Cohere Command A+, a 218 billion-parameter mixture-of-experts model, is now available in Microsoft Foundry as a serverless API, offering advanced capabilities for enterprise agentic workloads. Released on June 24, 2026, this model integrates reasoning, retrieval-augmented generation (RAG), coding, and tool use, eliminating the need for multiple systems. It supports a 128K input context window and up to 64K max generation, making it suitable for large documents and complex multi-step tasks. Command A+ expands language support to 48 languages, including all official European Union languages, and introduces multimodal input for processing both text and images in documents like forms and reports. Pricing is set at \$0.80 per 1M input tokens and \$3.20 per 1M output tokens, providing a robust option for global AI application development within Microsoft Foundry's operational control environment.

Key takeaway

For AI Engineers and MLOps teams building complex enterprise agents, Command A+'s availability in Microsoft Foundry simplifies model selection. You can now deploy a single 218B-parameter model that handles reasoning, RAG, coding, tool use, and 48 languages. This eliminates the need to stitch together multiple specialized systems, streamlining development and operations. Evaluate Command A+ for your multimodal document processing and global agentic workflows to consolidate your AI stack and improve efficiency.

Key insights

Cohere Command A+ in Microsoft Foundry unifies diverse AI capabilities for complex enterprise agentic workflows.

Principles

In practice

Topics

Best for: CTO, AI Architect, NLP Engineer, AI Engineer, MLOps Engineer, Director of AI/ML

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Microsoft Foundry Blog articles.