MiniMax-M2.1

MiniMaxMiniMax오픈 웨이트MIT · 상업적 사용 가능

설명

MiniMax M2.1 is an enhanced large language model focused on multi-language programming and real-world complex tasks. It features exceptional capabilities across Rust, Java, Golang, C++, Kotlin, Objective-C, TypeScript, JavaScript and more, with industry-leading multilingual performance that outperforms Claude Sonnet 4.5 and approaches Claude Opus 4.5. M2.1 significantly strengthens native Android and iOS development, delivers enhanced design comprehension and aesthetic expression for web/app scenarios, and provides more concise responses with improved speed and reduced token consumption. It excels across various coding agent frameworks including Claude Code, Droid (Factory AI), Cline, Kilo Code, Roo Code, and BlackBox.

출시일

2025-12-23

파라미터

230.0B

컨텍스트 길이

205K

모달리티

text

능력 레이더

general

coding

reasoning

science

agents

multimodal

랭킹

도메인	#순위	점수	소스
에이전트형 역량	74	43.0	LS
코딩 랭킹	185	69.0	AA
종합 랭킹	111	66.0	AA
과학	182	61.0	AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Toolathlon

43.5%자체 보고

Code

VIBE Web

91.5%자체 보고

VIBE Android

89.7%자체 보고

VIBE

88.6%자체 보고

VIBE iOS

88.0%자체 보고

VIBE Simulation

87.1%자체 보고

VIBE Backend

86.7%자체 보고

SWT-Bench

69.3%자체 보고

OctoCodingBench

26.1%자체 보고

SWE-Review

8.9%자체 보고

SWE-Perf

3.1%자체 보고

Communication

Tau2 Telecom

87.0%자체 보고

Instruction Following

IFBench

70.0%자체 보고

Language

MMLU-Pro

88.0%자체 보고

Math

AIME 2025

81.0%자체 보고

Reasoning

GPQANYU + Cohere + Anthropic (2023)

81.0%자체 보고

LiveCodeBench

78.0%자체 보고

SWE-bench Multilingual

72.5%자체 보고

SWE-Bench Verified

67.0%자체 보고

AA-LCR

62.0%자체 보고

BrowseCompOpenAI (2025)

62.0%자체 보고

Multi-SWE-Bench

49.4%자체 보고

Terminal-Bench

47.9%자체 보고

SciCode

39.0%자체 보고

Humanity's Last Exam

22.0%자체 보고

AA 평가 지수

(Artificial Analysis)

Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))

87.5

Tau2(Sierra + U Toronto + Vector Institute (2025))

85.4

Gpqa(NYU + Cohere + Anthropic (2023))

83.0

Math Index(Artificial Analysis)

82.7

Aime 25(MAA (Mathematical Association of America))

82.7

Livecodebench(UC Berkeley + MIT + Cornell (2024))

81.0

Ifbench(Google Research (2023))

69.9

Lcr(Artificial Analysis)

67.7

Terminalbench Hard(Stanford × Laude Institute (2026))

28.8

Hle(Center for AI Safety + Scale AI (2025))

23.2

Intelligence Index(Artificial Analysis)

20.9

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))

Language

Legal

Finance

Healthcare

Communication

Instruction Following

Frontend Development

Tool Calling

Long Context

Math

Physics

Reasoning

General

Biology

Chemistry

Code

Agents

Vision

가격

입력 가격$0.3 / 1M 토큰

출력 가격$1.2 / 1M 토큰

혼합 가격 (3:1)$0.525 / 1M 토큰

캐시 읽기 가격$0.03 / 1M 토큰

캐시 쓰기 가격$0.375 / 1M 토큰

속도

토큰/초0.0

첫 토큰 지연0.00s

첫 응답 지연0.00s

공급자 가격 순위

15개 공급자

최저가: MiniMax최고가: Moark

공급자입력출력

1MiniMax최저가

2LLM Gateway

$0.27

$1.1

3302.AI

$0.3

$1.2

4OpenRouter

$0.3

$1.2

5Jiekou.AI

$0.3

$1.2

6ZenMux

$0.3

$1.2

7NovitaAI

$0.3

$1.2

8Kilo Gateway

$0.3

$1.2

9Vercel AI Gateway

$0.3

$1.2

10MiniMax (minimax.io)

$0.3

$1.2

11MiniMax (minimax.cn)

$0.3

$1.2

12Merge Gateway

$0.3

$1.2

13Ofox

$0.3

$1.2

14NanoGPT

$0.33

$1.32

15Moark

$2.1

$8.4

이 모델의 다양한 API 공급자 간 가격 비교.

외부 링크

LLM Stats Artificial Analysis