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MiniMax-M2.1

MiniMaxMiniMaxOpen WeightMIT · Uso Comercial

Descripción

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.

Fecha de lanzamiento
2025-12-23
Parámetros
230.0B
Longitud del contexto
205K
Modalidades
text

Radar de capacidades

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

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica74
43.0
LS
Ranking de codificación184
69.0
AA
Ranking general112
66.0
AA
Ciencia181
61.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

Toolathlon43.5%Aut.

Code

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

Communication

Tau2 Telecom87.0%Aut.

Instruction Following

IFBench70.0%Aut.

Language

MMLU-Pro88.0%Aut.

Math

AIME 202581.0%Aut.

Reasoning

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

Índices de evaluación 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

Puntuaciones por categoría 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

Precios

Precio de entrada$0.3 / 1M tokens
Precio de salida$1.2 / 1M tokens
Precio mixto (3:1)$0.525 / 1M tokens
Precio de lectura caché$0.03 / 1M tokens
Precio de escritura caché$0.375 / 1M tokens

Velocidad

Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

15 proveedores

Más barato: MiniMaxMás caro: Moark
ProveedorEntradaSalida
1MiniMaxMás barato
$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

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis