MiniMax-M2
About MiniMax-M2
MiniMax-M2 redefines efficiency for agents. It's a compact, fast, and cost-effective MoE model (230 billion total parameters with 10 billion active parameters) built for elite performance in coding and agentic tasks, all while maintaining powerful general intelligence. With just 10 billion activated parameters, MiniMax-M2 provides the sophisticated, end-to-end tool use performance expected from today's leading models, but in a streamlined form factor that makes deployment and scaling easier than ever
Available Serverless
Run queries immediately, pay only for usage
$
0.3
/
$
1.2
Per 1M Tokens (input/output)
Metadata
Specification
State
Available
Architecture
Calibrated
No
Mixture of Experts
Yes
Total Parameters
230B
Activated Parameters
10B
Reasoning
No
Precision
FP8
Context length
197K
Max Tokens
131K
Supported Functionality
Serverless
Supported
Serverless LoRA
Not supported
Fine-tuning
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Not supported
JSON Mode
Supported
Structured Outputs
Not supported
Tools
Supported
Fim Completion
Not supported
Chat Prefix Completion
Supported
SiliconFlow Service
Comprehensive solutions to deploy and scale your AI applications with maximum flexibility
60%
lower latency
2x
higher throughput
65%
cost savings
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