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Model details

MAI-Code-1.1-Flash

MAI-Code-1.1-Flash is positioned as a small-tier developer assistant that builds on its predecessor with native image understanding, sharper coding quality, and tighter instruction following and tool use. Under the hood, it is a transformer that leans on self-attention routed through sparse Mixture-of-Experts layers, with 138 billion total parameters but only about 5 billion active per pass, a design that targets low latency and low serving cost while still handling complex agentic coding tasks such as working in real repositories, answering repository-level questions, refactoring, and tool-driven developer flows. The model card frames it as a text-to-text and image-to-text coding model intended for everyday developer work, with a 256,000-token context window that leaves room for sizable codebases and long agent traces.

Practically, the model's fit is in lightweight coding workflows where teams want capable behavior without paying for a heavyweight model: it is offered across the Copilot surface area, from the CLI and cloud agent to IDEs and mobile, and is exposed to free and student users through auto selection while paid SKUs can also pick it directly. Advances in model and serving efficiency translated into a 73 percent reduction in list price versus the prior generation, and annual Copilot subscribers use it at a 0.25× premium request multiplier, making it a cost-effective default for vision-aware coding help in Copilot Chat, coding agents, and developer tools.

GitHub Copilotmai-code-1.1-flashmai

Quick Info

Powered by
Provider
GitHub Copilot
Model key
mai-code-1.1-flash
Release date
Aug 11, 2026
Last updated
Aug 11, 2026
AI SDK package
@ai-sdk/openai
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.20
Output token cost
$1.20

Limits

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

Latest news about MAI-Code-1.1-Flash

GitHub Copilot

Coverage

AIDeveloper44 reported on August 13, 2026 that Microsoft AI announced MAI-Code-1.1-Flash as a lightweight coding model iteration originally introduced at Microsoft Build in June 2026. The post explicitly names the 1.1-Flash variant and positions it as optimized for integration with GitHub Copilot and Visual Studio Code The article reiterates the 75% cost reduction versus the 1.0 version, the 22% Terminal-Bench 2.1 improvement, the 15% gain on .NET tasks, and the 25% gains in token streaming speed and token efficiency per task, attributing these to training and serving infrastructure optimizations. It adds that the model was developed

GitHub Copilot

CoverageBenchmark

The Decoder published a competitive analysis on August 12, 2026 explicitly naming MAI-Code-1.1-Flash and reporting that the model writes better code, is 25% more token-efficient, and costs a quarter of its June predecessor, with developer acceptance of output rising 4%. The article attributes training to reinforcement The piece provides a benchmark table placing MAI-Code-1.1-Flash at 72.6% on SWE-bench Verified and 62.9% on Terminal Bench 2.1, versus the predecessor at 71.6% and 51.7%, and contrasts these with DeepSeek-V4-Flash-0731 (Terminal Bench 2.1 82.7%, pricing $0.14/$0.0028/$0.28) and Claude Haiku 4.5. It frames Microsoft's m

GitHub Copilot

CoverageRelease Notes

Neowin reported on August 12, 2026 that Microsoft released MAI-Code-1.1-Flash, an upgraded version of the inference-efficient coding model originally revealed in June, explicitly naming the variant and attributing it to Microsoft. The article describes MAI-Code-1-Flash as having been overshadowed by affordable models s The piece confirms the 22% Terminal-Bench 2.1 improvement via CLI, the 15% .NET improvement, 25% faster token streaming, 25% fewer tokens per task, and the 0.25x premium request multiplier for annual Copilot subscribers, with per-token pricing of $0.20 input / $0.02 cached / $1.20 output versus $0.75 / $0.075 / $4.50 f

GitHub Copilot

Coverage

The official Microsoft AI model page for MAI-Code-1.1-Flash frames it as a quality coding-assistance model optimized for efficiency that tackles everyday engineering tasks faster and more affordably. Featured capabilities include autonomous agentic workflows that plan, reason, and execute across coding tasks from idea The page provides a "Try in GitHub Copilot" entry point, making the model directly accessible through GitHub's coding assistant. Performance figures and benchmark numbers are not included in the visible excerpt, which is dominated by the page's layout and inline styling resources, so quantitative evaluation details mus

GitHub Copilot

Coverage

Microsoft announced MAI-Code-1.1-Flash on August 11, 2026, positioning it as a small, efficient coding model that produces higher-quality code at 25% greater token efficiency and one-quarter the cost of the 1.0 model launched in June at Microsoft Build. According to the official Microsoft AI post, production deployment The post invites developers to try MAI-Code-1.1-Flash in GitHub Copilot and to file improvement requests via GitHub issues, while also recruiting for Microsoft's lean AI research and engineering team. Related stories linked from the post include MAI-Image-2.6 launching at No. 2 on Arena ahead of Google, Meta, and xAI m

GitHub Copilot

Official sourceRelease Notes

GitHub's Changelog notified Copilot users that with the launch of MAI-Code-1.1-Flash, the predecessor MAI-Code-1-Flash will be deprecated across all GitHub Copilot experiences on September 10, 2026, and recommended MAI-Code-1.1-Flash as the suggested alternative. The notice urged developers to update workflows and inte Copilot Enterprise administrators may need to enable access to the alternative model through their model policies in Copilot settings; once enabled, the model appears in the Copilot Chat model selector in VS Code and on github.com, and availability can be verified via individual Copilot settings. GitHub Enterprise cust

GitHub Copilot

Official sourceRelease Notes

GitHub announced on August 11, 2026 that MAI-Code-1.1-Flash, Microsoft's latest small-tier coding model, is rolling out in GitHub Copilot. The new release builds on MAI-Code-1-Flash by adding native vision support for image understanding and delivering improvements in coding quality, instruction following, tool use, an For annual GitHub Copilot subscribers, MAI-Code-1.1-Flash is charged at a 0.25x premium request multiplier and billed at provider list pricing under usage-based billing. It is available to Copilot Free and Student users through auto model selection, while Copilot Pro, Pro+, Max, Business, and Enterprise SKUs can manual

GitHub Copilot

Coverage

Emergent.sh reported on August 15, 2026, that Microsoft officially launched MAI-Code-1.1-Flash on August 11, 2026, as a multimodal coding model designed to enhance software development workflows by combining code generation with multimodal understanding. The piece notes the model operates under a proprietary license wi The article places MAI-Code-1.1-Flash within Microsoft's broader portfolio of specialized AI models for developer productivity and observes that proprietary access likely requires Microsoft Azure credentials. It does not introduce new benchmark numbers, API details, or technical specifications beyond restating the Augu

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