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MAI-Code-1.1-Flash

Available
MicrosoftProprietary

Microsoft's upgraded inference-efficient agentic coding model, released Aug 11 2026 and rolling out in production across GitHub Copilot (CLI and VS Code). A post-training-focused successor to MAI-Code-1-Flash, tuned through hundreds of thousands of reinforcement-learning environments built from real GitHub Copilot usage rather than raw scaling. Microsoft reports a +22% gain on Terminal-Bench 2.1 for CLI tasks and +15% on .NET workloads over 1.0, alongside 25% greater token efficiency (25% fewer tokens per task, streaming 25% faster) β€” at roughly a quarter of the cost of MAI-Code-1.0. Text/code only; size and context window undisclosed, weights not released.

Specifications

License
Proprietary
Weights
Not released
Architecture
unknown
Parameters
Undisclosed
Context window
β€” tokens
Max output
β€”
Knowledge cutoff
β€”
Price (in / out, $/M)
β€”
Modalities
TextCode

Benchmarks

No benchmark scores recorded yet. Spotted some? Submit a correction.

Vendor-reported figures are claims until independently verified. See methodology.