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MiniMax-M2

MiniMaxMiniMaxオープンウエイトMIT · 商用利用可

説明

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.

リリース日
2025-10-26
パラメータ
230.0B
コンテキスト長
197K
モダリティ
text

能力レーダー

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

ランキング

ドメイン#順位スコアソース
エージェント能力77
45.0
LS
コーディングランキング123
69.0
AA
総合ランキング104
71.0
AA
科学213
54.0
AA

ベンチマークスコア (LLM Stats)

(LLM Stats (zeroeval))

Agents

Tau-bench77.2%自己申告
Terminal-Bench46.3%自己申告
BrowseCompOpenAI (2025)44.0%自己申告

Biology

GPQANYU + Cohere + Anthropic (2023)78.0%自己申告
SciCode36.0%自己申告

Code

LiveCodeBench83.0%自己申告
SWE-Bench Verified69.4%自己申告
SWE-bench Multilingual56.5%自己申告
Multi-SWE-Bench36.2%自己申告

Communication

Tau2 Telecom87.0%自己申告

Finance

MMLU-Pro82.0%自己申告

General

IF72.0%自己申告
AA-Index61.0%自己申告

Math

AIME 202578.0%自己申告
Humanity's Last Exam12.5%自己申告

Reasoning

BrowseComp-zh48.5%自己申告

AA評価指数

(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カテゴリスコア

(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

価格設定

入力価格$0.3 / 1Mトークン
出力価格$1.2 / 1Mトークン
混合価格(3:1)$0.525 / 1Mトークン

速度

トークン/秒0.0
初トークン遅延0.00s
初回答遅延0.00s

プロバイダー価格ランキング

プロバイダー価格ランキング

14 プロバイダー

最安: MiniMax最高: Cortecs
プロバイダー入力出力
1MiniMax最安
$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

このモデルの異なるAPIプロバイダー間の価格を比較。

外部リンク