Using MAI-Code-1-Flash on Microsoft Foundry

Quick Start

1. 1
   Create an account at Microsoft Foundry and generate an API key.
2. 2
   Use the Microsoft Foundry SDK or REST API to call MAI-Code-1-Flash — see the documentation for request format.

Code Examples

About Microsoft Foundry

Microsoft Foundry offers a comprehensive platform-as-a-service for enterprise AI operations. It provides multiple deployment options including Serverless APIs (pay-as-you-go), Global Standard (shared managed capacity), Provisioned Throughput Units (reserved capacity), batch processing, and bring-your-own model deployments. The platform features a unified control plane for models, agents, tools, and observability. Its Agent Service enables building and deploying AI agents with built-in tracing, monitoring, and governance. Evaluation and monitoring tools assess model performance, safety, and groundedness. Foundry supports seamless upgrades from Azure OpenAI with non-destructive migration, maintaining existing deployments while unlocking multi-provider model access and advanced platform capabilities.

Microsoft Foundry is a unified Azure platform-as-a-service offering for enterprise AI operations, model builders, and application development. It provides access to over 1,900 models from Microsoft, OpenAI, Anthropic, Mistral, xAI, Meta, DeepSeek, Hugging Face, and more. Foundry unifies agents, models, and tools under a single management grouping with built-in enterprise-readiness capabilities including tracing, monitoring, evaluations, and customizable enterprise setup configurations.

Pricing on Microsoft Foundry

Capabilities

About MAI-Code-1-Flash

MAI-Code-1-Flash is Microsoft AI's lightweight agentic coding model built directly inside GitHub Copilot's production harness. It is designed for fast everyday developer workflows, adaptive thinking by task complexity, multi-turn instruction following, and token-efficient coding. Microsoft reports 51.2% on SWE-bench Pro versus 35.2% for Claude Haiku 4.5 in the same Copilot harness, plus stronger results on SWE-bench Verified, SWE-bench Multilingual, and Terminal-Bench 2.0 without publishing exact scores for those secondary benchmarks.