MAI-Code-1-Flash
Description
MAI-Code-1-Flash is a Microsoft AI coding model built for fast, efficient assistance in everyday developer workflows, built end-to-end by Microsoft on clean and appropriately licensed data. It is trained directly with the GitHub Copilot harnesses used in production for agentic coding in real developer environments, and uses adaptive solution length control to stay concise on simple requests while spending more reasoning budget on complex tasks. It outperforms Claude Haiku 4.5 across coding benchmarks while using up to 60% fewer tokens, and is rolling out to GitHub Copilot individual users in Visual Studio Code via the model picker and the default Auto picker.
Capability Radar
Science uses a reasoning proxy when dedicated science benchmarks are unavailable.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 75 | 53.0 | LS |
Benchmark Scores (LLM Stats)
Agents
Biology
Code
Communication
General
Instruction Following
Math
AA Evaluation Indices
No AA evaluation data available
LLM Stats Category Scores
Pricing
No pricing data available
Speed
No speed data available
Provider Price Ranking
No provider data available