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	40	53.0	LS
코딩 랭킹	100	71.0	AA
종합 랭킹	84	73.0	AA
과학	121	65.0	AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)

62.0%자체 보고

Terminal-Bench

47.9%자체 보고

Toolathlon

43.5%자체 보고

Biology

GPQANYU + Cohere + Anthropic (2023)

81.0%자체 보고

SciCode

39.0%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

LiveCodeBench

78.0%자체 보고

SWE-bench Multilingual

72.5%자체 보고

SWT-Bench

69.3%자체 보고

SWE-Bench Verified

67.0%자체 보고

Multi-SWE-Bench

49.4%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

Finance

MMLU-Pro

88.0%자체 보고

General

IFBench

70.0%자체 보고

Long Context

AA-LCR

62.0%자체 보고

Math

AIME 2025

81.0%자체 보고

Humanity's Last Exam

22.0%자체 보고

AA 평가 지수

(Artificial Analysis)

Math Index(Artificial Analysis)

82.7

Intelligence Index(Artificial Analysis)

32.1

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

0.9

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

0.9

Gpqa(NYU + Cohere + Anthropic (2023))

0.8

Aime 25(MAA (Mathematical Association of America))

0.8

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

0.8

Ifbench(Google Research (2023))

0.7

Lcr(Artificial Analysis)

0.7

Scicode(UIUC + Argonne National Lab (2024))

0.4

Terminalbench Hard(Stanford × Laude Institute (2026))

0.3

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

0.2

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

13개 공급자

최저가: MiniMax최고가: Moark

공급자입력출력

1MiniMax최저가

2302.AI

$0.3

$1.2

3OpenRouter

$0.3

$1.2

4Jiekou.AI

$0.3

$1.2

5ZenMux

$0.3

$1.2

6NovitaAI

$0.3

$1.2

7Kilo Gateway

$0.3

$1.2

8Vercel AI Gateway

$0.3

$1.2

9MiniMax (minimax.io)

$0.3

$1.2

10MiniMax (minimaxi.com)

$0.3

$1.2

11Merge Gateway

$0.3

$1.2

12NanoGPT

$0.33

$1.32

13Moark

$2.1

$8.4

이 모델의 다양한 API 공급자 간 가격 비교.

외부 링크

LLM Stats Artificial Analysis