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MiniMax-M2

MiniMaxMiniMax오픈 웨이트MIT · 상업적 사용 가능

설명

MiniMax M2 is an open-source large language model by MiniMax, built for agents and coding tasks. It delivers state-of-the-art tool use, reasoning, and search performance while maintaining exceptional cost-efficiency and speed, priced at just 8% of Claude 3.5 Sonnet’s cost and running at nearly double its inference speed (≈100 TPS). Designed for end-to-end agentic workflows, it excels at long-chain tool calling across Shell, Browser, Python, and other MCP tools. While slightly behind top overseas models in programming, it ranks among the best domestic models and top five globally on the Artificial Analysis benchmark. M2 powers the MiniMax Agent platform, available in Lightning Mode for fast tasks and Pro Mode for complex multi-step reasoning, and its weights, API, and deployment guides are freely available on Hugging Face, vLLM, and SGLang.

출시일
2025-10-26
파라미터
230.0B
컨텍스트 길이
197K
모달리티
text

능력 레이더

43
general
72
coding
78
reasoning
50
science
80
agents
0
multimodal

랭킹

도메인#순위점수소스
에이전트형 역량77
45.0
LS
코딩 랭킹123
69.0
AA
종합 랭킹104
71.0
AA
과학213
54.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Tau-bench77.2%자체 보고
Terminal-Bench46.3%자체 보고
BrowseCompOpenAI (2025)44.0%자체 보고

Biology

GPQANYU + Cohere + Anthropic (2023)78.0%자체 보고
SciCode36.0%자체 보고

Code

LiveCodeBench83.0%자체 보고
SWE-Bench Verified69.4%자체 보고
SWE-bench Multilingual56.5%자체 보고
Multi-SWE-Bench36.2%자체 보고

Communication

Tau2 Telecom87.0%자체 보고

Finance

MMLU-Pro82.0%자체 보고

General

IF72.0%자체 보고
AA-Index61.0%자체 보고

Math

AIME 202578.0%자체 보고
Humanity's Last Exam12.5%자체 보고

Reasoning

BrowseComp-zh48.5%자체 보고

AA 평가 지수

(Artificial Analysis)
Math Index(Artificial Analysis)
78.3
Intelligence Index(Artificial Analysis)
28.9
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Aime 25(MAA (Mathematical Association of America))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
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))
0.1

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Communication
90
Legal
80
Language
80
Finance
80
Healthcare
80
Tool Calling
80
Frontend Development
70
Physics
60
Reasoning
60
General
60
Agents
60
Biology
60
Chemistry
60
Math
50
Search
50
Code
50
Vision
10

가격

입력 가격$0.3 / 1M 토큰
출력 가격$1.2 / 1M 토큰
혼합 가격 (3:1)$0.525 / 1M 토큰

속도

토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s

공급자 가격 순위

공급자 가격 순위

14개 공급자

최저가: MiniMax최고가: Cortecs
공급자입력출력
1MiniMax최저가
$0
$0
2Novita
$0
$0
3NanoGPT
$0.17
$1.53
4LLM Gateway
$0.2
$1
5OpenRouter
$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 (minimaxi.com)
$0.3
$1.2
12Merge Gateway
$0.3
$1.2
13302.AI
$0.33
$1.32
14Cortecs
$0.349
$1.405

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