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MAI-Code-1-Flash

MicrosoftProprietary

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.

Release Date
2026-06-02
Parameters
Context Length
Modalities

Capability Radar

60
general
60
coding
40
reasoning
68
scienceest.
60
agents
20
multimodal

Science is estimated from LLM Stats science scores or reasoning when no dedicated science benchmarks are available.

Rankings

No ranking data available

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Code

Artifacts Bench36.4%SR

Communication

Tau2 Telecom71.7%SR

Instruction Following

IFBench75.0%SR
AdvancedIF71.4%SR
Robust IF61.2%SR

Math

AIME 202692.5%SR
AMO Bench40.0%SR
FrontierMath6.3%SR

Reasoning

GPQANYU + Cohere + Anthropic (2023)84.6%SR
SWE-Bench Verified71.6%SR
SWE-bench Multilingual65.5%SR
Frontier Science58.2%SR
Terminal-Bench 2.0Stanford × Laude Institute (2026)54.8%SR
SWE-Bench ProPrinceton NLP (2024)51.2%SR
Humanity's Last Exam18.0%SR

AA Evaluation Indices

(Artificial Analysis)

No AA evaluation data available

LLM Stats Category Scores

(LLM Stats (zeroeval))
Physics
80
Instruction Following
80
Biology
80
Chemistry
80
Communication
70
Reasoning
60
General
60
Code
60
Tool Calling
60
Frontend Development
50
Agents
50
Math
40
Vision
20

Pricing

No pricing data available

Speed

No speed data available

Provider Price Ranking

No provider data available

External Sources