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MiniMax-M2.1

MiniMaxMiniMaxOpen WeightMIT · Usage Commercial

Description

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.

Date de sortie
2025-12-23
Paramètres
230.0B
Longueur du contexte
205K
Modalités
text

Radar de capacités

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

Classements

Domaine#RangScoreSource
Capacité agentique44
53.0
LS
Classement codage107
71.0
AA
Classement général90
73.0
AA
Science130
65.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

GPQANYU + Cohere + Anthropic (2023)81.0%Aut.
SciCode39.0%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.
LiveCodeBench78.0%Aut.
SWE-bench Multilingual72.5%Aut.
SWT-Bench69.3%Aut.
SWE-Bench Verified67.0%Aut.
Multi-SWE-Bench49.4%Aut.
OctoCodingBench26.1%Aut.
SWE-Review8.9%Aut.
SWE-Perf3.1%Aut.

Communication

Tau2 Telecom87.0%Aut.

Finance

MMLU-Pro88.0%Aut.

General

IFBench70.0%Aut.

Long Context

AA-LCR62.0%Aut.

Math

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

Indices d'évaluation AA

(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

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Legal
90
Language
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

Tarification

Prix d'entrée$0.3 / 1M tokens
Prix de sortie$1.2 / 1M tokens
Prix mixte (3:1)$0.525 / 1M tokens
Prix de lecture cache$0.03 / 1M tokens
Prix d'écriture cache$0.375 / 1M tokens

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

13 fournisseurs

Moins cher: MiniMaxPlus cher: Moark
FournisseurEntréeSortie
1MiniMaxMoins cher
$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

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes

LLM StatsArtificial Analysis