Model Comparison
MiniMax-M2.1
vs
Ring-flash-2.0
Feb 15, 2026
Pricing
Input
$
0.29
/ M Tokens
$
0.14
/ M Tokens
Output
$
1.2
/ M Tokens
$
0.57
/ M Tokens
Metadata
Create on
Dec 20, 2025
Sep 19, 2025
License
MODIFIED-MIT
MIT LICENSE
Provider
MiniMaxAI
inclusionAI
Specification
State
Available
Available
Architecture
null
Mixture-of-Experts (MoE) with 1/32 expert activation ratio and MTP layers, featuring low activation and high sparsity design
Calibrated
No
Yes
Mixture of Experts
No
Yes
Total Parameters
230B
100B
Activated Parameters
230B
6.1B
Reasoning
No
No
Precision
FP8
FP8
Context length
197K
131K
Max Tokens
131K
131K
Supported Functionality
Serverless
Supported
Supported
Serverless LoRA
Not supported
Not supported
Fine-tuning
Not supported
Not supported
Embeddings
Not supported
Not supported
Rerankers
Not supported
Not supported
Support image input
Not supported
Not supported
JSON Mode
Supported
Not supported
Structured Outputs
Not supported
Not supported
Tools
Supported
Not supported
Fim Completion
Not supported
Not supported
Chat Prefix Completion
Supported
Supported
MiniMax-M2.1 in Comparison
See how MiniMax-M2.1 compares with other popular models across key dimensions.
