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AITier

MiniMax-M2.1

MiniMaxMiniMax開源權重MIT · 商用許可

描述

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.

發布日期
2025-12-23
參數規模
230.0B
上下文長度
205K
支援模態
text

能力雷達圖

47
general
72
coding
83
reasoning
56
science
70
agents
0
multimodal

排行榜排名

領域#排名分數來源
智慧體能力模型榜44
53.0
LS
程式碼能力榜104
71.0
AA
通用能力榜87
73.0
AA
科學能力125
65.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)62.0%自報
Terminal-Bench47.9%自報
Toolathlon43.5%自報

Biology

GPQANYU + Cohere + Anthropic (2023)81.0%自報
SciCode39.0%自報

Code

VIBE Web91.5%自報
VIBE Android89.7%自報
VIBE88.6%自報
VIBE iOS88.0%自報
VIBE Simulation87.1%自報
VIBE Backend86.7%自報
LiveCodeBench78.0%自報
SWE-bench Multilingual72.5%自報
SWT-Bench69.3%自報
SWE-Bench Verified67.0%自報
Multi-SWE-Bench49.4%自報
OctoCodingBench26.1%自報
SWE-Review8.9%自報
SWE-Perf3.1%自報

Communication

Tau2 Telecom87.0%自報

Finance

MMLU-Pro88.0%自報

General

IFBench70.0%自報

Long Context

AA-LCR62.0%自報

Math

AIME 202581.0%自報
Humanity's Last Exam22.0%自報

AA 評測指數

(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 分類評分

(LLM Stats (zeroeval))
Language
90
Legal
90
Finance
90
Healthcare
90
Communication
90
Instruction Following
70
Frontend Development
70
Tool Calling
70
Long Context
60
Math
60
Physics
60
Reasoning
60
Search
60
General
60
Biology
60
Chemistry
60
Code
60
Agents
50
Vision
20

定價

輸入價格$0.3 / 1M tokens
輸出價格$1.2 / 1M tokens
混合價格(3:1)$0.525 / 1M tokens
快取讀取價格$0.03 / 1M tokens
快取寫入價格$0.375 / 1M tokens

速度

Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s

供應商價格排行

供應商價格排行

13 個供應商

最便宜: MiniMax最貴: Moark
供應商輸入輸出
1MiniMax最便宜
$0
$0
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

比較該模型在不同 API 供應商之間的定價。

外部連結

LLM StatsArtificial Analysis