MiMo-V2-Flash (Non-reasoning)
Xiaomi오픈 웨이트MIT · 상업적 사용 가능
설명
MiMo-V2-Flash is a powerful, efficient, and ultra-fast foundation language model that excels in reasoning, coding, and agentic scenarios. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, featuring a hybrid attention architecture with sliding-window and full attention (5:1 ratio, 128-token window). Delivers 150 tokens/sec inference with 256k context window.
출시일
2025-12-16
파라미터
309.0B
컨텍스트 길이
262K
모달리티
text
능력 레이더
37
general
44
coding
67
reasoning
40
science
60
agents
0
multimodal
랭킹
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Agents
Tau-bench
80.3%자체 보고
BrowseCompOpenAI (2025)
58.3%자체 보고
Terminal-Bench 2.0Stanford × Laude Institute (2026)
38.5%자체 보고
Terminal-Bench
30.5%자체 보고
Biology
GPQANYU + Cohere + Anthropic (2023)
83.7%자체 보고
Code
SWE-Bench Verified
73.4%자체 보고
SWE-bench Multilingual
71.7%자체 보고
Creativity
Arena-Hard v2
86.2%자체 보고
Finance
MMLU-Pro
84.9%자체 보고
General
LiveCodeBench v6
80.6%자체 보고
LongBench v2
60.6%자체 보고
MRCR
45.7%자체 보고
Math
AIME 2025
94.1%자체 보고
HMMT 2025
84.4%자체 보고
Humanity's Last Exam
22.1%자체 보고
AA 평가 지수
(Artificial Analysis)Math Index(Artificial Analysis)67.7
Coding Index(Artificial Analysis)49.8
Intelligence Index(Artificial Analysis)25.1
Tau2(Sierra + U Toronto + Vector Institute (2025))0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Aime 25(MAA (Mathematical Association of America))0.7
Gpqa(NYU + Cohere + Anthropic (2023))0.7
Terminalbench V2 10.6
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.4
Ifbench(Google Research (2023))0.4
Lcr(Artificial Analysis)0.3
Scicode(UIUC + Argonne National Lab (2024))0.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.3
Hle(Center for AI Safety + Scale AI (2025))0.1
LLM Stats 카테고리 점수
(LLM Stats (zeroeval))Creativity90
Writing90
Language80
Legal80
Physics80
Finance80
Healthcare80
Biology80
Chemistry80
Math70
Reasoning70
Frontend Development70
General70
Search60
Structured Output60
Tool Calling60
Long Context50
Agents50
Code50
Vision20
가격
입력 가격무료
출력 가격무료
혼합 가격 (3:1)무료
캐시 읽기 가격$0.0028 / 1M 토큰
속도
토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s
공급자 가격 순위
프로바이더 데이터가 없습니다