Model Comparison
MiniMax-M2
vs
Qwen3-235B-A22B-Thinking-2507
Jan 13, 2026
Pricing
Input
$
0.3
/ M Tokens
$
0.13
/ M Tokens
Output
$
1.2
/ M Tokens
$
0.6
/ M Tokens
Metadata
Create on
Oct 22, 2025
Jul 25, 2025
License
MIT
APACHE-2.0
Provider
MiniMaxAI
Qwen
Specification
State
Available
Available
Architecture
Calibrated
No
Yes
Mixture of Experts
Yes
Yes
Total Parameters
230B
235B
Activated Parameters
10B
22B
Reasoning
No
No
Precision
FP8
FP8
Context length
197K
262K
Max Tokens
131K
262K
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
Supported
Structured Outputs
Not supported
Not supported
Tools
Supported
Supported
Fim Completion
Not supported
Not supported
Chat Prefix Completion
Supported
Supported
MiniMax-M2 in Comparison
See how MiniMax-M2 compares with other popular models across key dimensions.
VS
Qwen3-VL-235B-A22B-Instruct
VS
Qwen3-VL-235B-A22B-Thinking
VS
Ring-flash-2.0
VS
Qwen3-Next-80B-A3B-Instruct
VS
Qwen3-Next-80B-A3B-Thinking
VS
gpt-oss-120b
VS
step3
VS
Qwen3-235B-A22B-Thinking-2507
VS
Qwen3-Coder-480B-A35B-Instruct
VS
Qwen3-235B-A22B-Instruct-2507
VS
Qwen2.5-VL-72B-Instruct
VS
Qwen2.5-72B-Instruct
VS
Qwen2.5-72B-Instruct-128K
VS
