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Model details

MAI-Code-1-Flash

MAI-Code-1-Flash is Microsoft's purpose-built coding model, designed to balance speed and depth for software engineering workflows. It uses a sparse Mixture-of-Experts design with roughly 137 billion total parameters and about 5 billion active per inference, an arrangement aimed at cutting latency and cost without sacrificing capability on realistic coding tasks. A 256,000-token context window lets it ingest sizeable repositories or documentation in one pass, which is particularly useful for whole-project refactors, multi-file edits, and long debugging sessions where continuity across files matters.

Beyond raw architecture, the model is shaped around developer ergonomics. An "Adaptive Thinking" mechanism tailors reasoning depth to the difficulty of each request, so simple completions stay snappy while harder problems get more deliberate analysis. It is positioned for coding benchmarks such as SWE-Bench and is wired into developer surfaces like GitHub Copilot and Visual Studio Code, making it a natural fit for teams that want agentic, tool-using assistance inside their existing editor environment.

GitHub Copilotmai-code-1-flash-pickermai

Quick Info

Powered by
Provider
GitHub Copilot
Model key
mai-code-1-flash-picker
Release date
Jun 2, 2026
Last updated
Jun 8, 2026
Knowledge cutoff
2025-12
AI SDK package
@ai-sdk/openai
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.75
Output token cost
$4.50

Limits

Input tokens
128,000 tokens
Output tokens
128,000 tokens
Context window
256,000 tokens

Latest news about MAI-Code-1-Flash

GitHub Copilot

Official sourceRelease Notes

GitHub announced on August 11, 2026 that MAI-Code-1.1-Flash, the successor to MAI-Code-1-Flash, is now rolling out in GitHub Copilot. The update adds native vision support for image understanding and delivers improvements across coding quality, instruction following, tool use, and overall performance. Continued advance For annual GitHub Copilot subscribers, MAI-Code-1.1-Flash is charged at a 0.25× premium request multiplier under usage-based billing. The model will be available to Copilot Free and Student users through auto model selection, while Pro, Pro+, Max, Business, and Enterprise SKUs can manually select it in addition to auto

GitHub Copilot

Coverage

Enterprise DNA reported on Microsoft's unveiling of MAI-Code-1-Flash at Build 2026 on June 2, 2026, describing it as Microsoft's first coding AI model built entirely in-house without OpenAI's technology or data. The article details that it is a 5-billion-parameter coding model trained directly on GitHub Copilot's produ The same article reports that Microsoft is rolling out MAI-Code-1-Flash inside GitHub Copilot's model picker in Visual Studio Code, including the default auto-picker, meaning most Copilot users will get the new model automatically on their next task. The piece frames this as a strategic signal of Microsoft building in-

GitHub Copilot

Coverage

Microsoft's AI Superintelligence team introduced MAI-Code-1-Flash on June 2, 2026 as a coding model built for fast, efficient, everyday developer workflows. The model was trained from scratch on clean, traceable, enterprise-grade data without distillation from third-party models, and is rolling out to GitHub Copilot in The launch post emphasizes that MAI-Code-1-Flash was designed to maximize value per token through adaptive solution length control, allowing it to deliver useful output sooner on simpler tasks while reserving deeper reasoning for harder problems. During training, checkpoints were evaluated on core software-engineering

GitHub Copilot

Official sourceRelease Notes

GitHub has officially deprecated MAI-Code-1-Flash across all Copilot experiences as of September 10, 2026, according to a first-party changelog entry on github.blog. The deprecation covers Copilot Chat, inline edits, ask and agent modes, and code completions, meaning the model is no longer a supported option for develo GitHub instructs affected customers to migrate to MAI-Code-1.1-Flash, which is the suggested alternative explicitly named in the changelog. Copilot Enterprise administrators may need to enable access to the replacement through their model policies in Copilot settings, after which the successor appears in the Copilot Ch

GitHub Copilot

Official sourceRelease Notes

GitHub announced in its official Changelog that MAI-Code-1-Flash, Microsoft's latest small-tier coding model, is rolling out in GitHub Copilot starting with VS Code. The post explicitly names the model and frames it as Microsoft's first in a new wave of purpose-built coding models, designed and tuned specifically for G According to the same Changelog entry, MAI-Code-1-Flash availability is beginning across Copilot Free, Student, Pro, Pro+, and Max plans (with Student added on June 5, 2026 via editor's note), starting with a limited set of users and expanding gradually over the coming weeks. Users will be able to select the model in t

GitHub Copilot

CoverageBenchmark

A detailed third-party guide documents MAI-Code-1-Flash's technical specifications: a sparse Mixture-of-Experts architecture with 137B total parameters and 5B active parameters, a 256K token context length, English-only language support, and training from March through May 2026 with a release date of June 2, 2026. Micr Availability began rolling out to Copilot Free, Pro, Pro+, and Max plans starting June 2, 2026, with GitHub expanding supported surfaces on June 18, 2026 to include Copilot CLI, the Copilot cloud agent, the GitHub Copilot app, Copilot Chat on GitHub, Visual Studio, GitHub Mobile, JetBrains IDEs, Eclipse, and Xcode. The

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