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.
发布日期
2026-06-02
参数规模
—
上下文长度
—
支持模态
—
能力雷达图
60
general
60
coding
40
reasoning
68
science估算
60
agents
20
multimodal
缺少专门科学评测时,Science 由 LLM Stats 科学得分或推理能力估算。
排行榜排名
暂无排名数据
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Code
Artifacts Bench
36.4%自报
Communication
Tau2 Telecom
71.7%自报
Instruction Following
IFBench
75.0%自报
AdvancedIF
71.4%自报
Robust IF
61.2%自报
Math
AIME 2026
92.5%自报
AMO Bench
40.0%自报
FrontierMath
6.3%自报
Reasoning
GPQANYU + Cohere + Anthropic (2023)
84.6%自报
SWE-Bench Verified
71.6%自报
SWE-bench Multilingual
65.5%自报
Frontier Science
58.2%自报
Terminal-Bench 2.0Stanford × Laude Institute (2026)
54.8%自报
SWE-Bench ProPrinceton NLP (2024)
51.2%自报
Humanity's Last Exam
18.0%自报
AA 评测指数
(Artificial Analysis)暂无 AA 评测数据
LLM Stats 分类评分
(LLM Stats (zeroeval))Physics80
Instruction Following80
Biology80
Chemistry80
Communication70
Reasoning60
General60
Code60
Tool Calling60
Frontend Development50
Agents50
Math40
Vision20
定价
暂无定价数据
速度
暂无速度数据
供应商价格排行
暂无提供商数据