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MiniMax-M2.1

MiniMaxMiniMaxОткрытые весаMIT · Коммерческое использование

Описание

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.

Дата выхода
2025-12-23
Параметры
230.0B
Длина контекста
205K
Модальности
text

Радар способностей

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

Рейтинги

Домен#МестоОценкаИсточник
Агентные возможности74
43.0
LS
Рейтинг кодинга185
69.0
AA
Общий рейтинг111
66.0
AA
Наука182
61.0
AA

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

Agents

Toolathlon43.5%Сам.

Code

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

Communication

Tau2 Telecom87.0%Сам.

Instruction Following

IFBench70.0%Сам.

Language

MMLU-Pro88.0%Сам.

Math

AIME 202581.0%Сам.

Reasoning

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

Индексы оценки AA

(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

Оценки категорий LLM Stats

(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

Цены

Цена ввода$0.3 / 1M токенов
Цена вывода$1.2 / 1M токенов
Смешанная цена (3:1)$0.525 / 1M токенов
Цена чтения кэша$0.03 / 1M токенов
Цена записи кэша$0.375 / 1M токенов

Скорость

Токенов/сек0.0
Задержка первого токена0.00s
Время до первого ответа0.00s

Рейтинг цен провайдеров

Рейтинг цен провайдеров

15 провайдеров

Самый дешевый: MiniMaxСамый дорогой: Moark
ПровайдерВводВывод
1MiniMaxСамый дешевый
$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

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки

LLM StatsArtificial Analysis