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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

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

Rankings

Domain#RankScoreSource
Agentic Capability44
53.0
LS
Code Ranking107
71.0
AA
General Ranking90
73.0
AA
Science130
65.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

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

Communication

Tau2 Telecom87.0%SR

Finance

MMLU-Pro88.0%SR

General

IFBench70.0%SR

Long Context

AA-LCR62.0%SR

Math

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

AA Evaluation Indices

(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

LLM Stats Category Scores

(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

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

13 providers

Cheapest: MiniMaxMost Expensive: Moark
ProviderInputOutput
1MiniMaxCheapest
$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

Compare pricing across different API providers for this model.

External Sources

LLM StatsArtificial Analysis