MAI-Code-1.1-Flash
AvailableMicrosoft'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.