跳轉到主要內容

MAI-Code-1-Flash

MicrosoftProprietary

描述

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.

發布日期
2026-06-02
參數規模
上下文長度
支援模態

能力雷達圖

60
general
60
coding
40
reasoning
68
science估算
60
agents
20
multimodal

缺少專門科學評測時,Science 由 LLM Stats 科學得分或推理能力估算。

排行榜排名

暫無排名資料

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Code

Artifacts Bench36.4%自報

Communication

Tau2 Telecom71.7%自報

Instruction Following

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

Math

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

Reasoning

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

AA 評測指數

(Artificial Analysis)

暫無 AA 評測資料

LLM Stats 分類評分

(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

定價

暫無定價資料

速度

暫無速度資料

供應商價格排行

暫無提供商資料

外部連結