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MiniMax-M2.1

MiniMaxMiniMaxOpen WeightMIT · Commercial OK

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.

Release Date
2025-12-23
Parameters
230.0B
Context Length
205K
Modalities
text

Capability Radar

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

Rankings

Domain#RankScoreSource
Agentic Capability73
43.0
LS
Code Ranking179
69.0
AA
General Ranking107
66.0
AA
Science177
61.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

Toolathlon43.5%SR

Code

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

Communication

Tau2 Telecom87.0%SR

Instruction Following

IFBench70.0%SR

Language

MMLU-Pro88.0%SR

Math

AIME 202581.0%SR

Reasoning

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

AA Evaluation Indices

(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 Category Scores

(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

Pricing

Input Price$0.3 / 1M tokens
Output Price$1.2 / 1M tokens
Blended Price (3:1)$0.525 / 1M tokens
Cache Read Price$0.03 / 1M tokens
Cache Write Price$0.375 / 1M tokens

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

15 providers

Cheapest: MiniMaxMost Expensive: Moark
ProviderInputOutput
1MiniMaxCheapest
$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

Compare pricing across different API providers for this model.

External Sources

LLM StatsArtificial Analysis