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MiniMax-M2.1

MiniMaxMiniMax开源权重MIT · 商用许可

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.

发布日期
2025-12-23
参数规模
230.0B
上下文长度
205K
支持模态
text

能力雷达图

41
general
81
coding
83
reasoning
65
science
70
agents
0
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜74
43.0
LS
代码能力榜188
69.0
AA
通用能力榜113
66.0
AA
科学能力184
61.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Toolathlon43.5%自报

Code

VIBE Web91.5%自报
VIBE Android89.7%自报
VIBE88.6%自报
VIBE iOS88.0%自报
VIBE Simulation87.1%自报
VIBE Backend86.7%自报
SWT-Bench69.3%自报
OctoCodingBench26.1%自报
SWE-Review8.9%自报
SWE-Perf3.1%自报

Communication

Tau2 Telecom87.0%自报

Instruction Following

IFBench70.0%自报

Language

MMLU-Pro88.0%自报

Math

AIME 202581.0%自报

Reasoning

GPQANYU + Cohere + Anthropic (2023)81.0%自报
LiveCodeBench78.0%自报
SWE-bench Multilingual72.5%自报
SWE-Bench Verified67.0%自报
AA-LCR62.0%自报
BrowseCompOpenAI (2025)62.0%自报
Multi-SWE-Bench49.4%自报
Terminal-Bench47.9%自报
SciCode39.0%自报
Humanity's Last Exam22.0%自报

AA 评测指数

(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 分类评分

(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

定价

输入价格$0.3 / 1M tokens
输出价格$1.2 / 1M tokens
混合价格(3:1)$0.525 / 1M tokens
缓存读取价格$0.03 / 1M tokens
缓存写入价格$0.375 / 1M tokens

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

15 个供应商

最便宜: MiniMax最贵: Moark
供应商输入输出
1MiniMax最便宜
$0
$0
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

比较该模型在不同 API 供应商之间的定价。

外部链接

LLM StatsArtificial Analysis