Model Comparison
GLM-4.7
vs
MiniMax-M2.5
Feb 15, 2026
Pricing
Input
$
0.42
/ M Tokens
$
0.3
/ M Tokens
Output
$
2.2
/ M Tokens
$
1.2
/ M Tokens
Metadata
Create on
Dec 22, 2025
Feb 12, 2026
License
MIT
MODIFIED-MIT
Provider
Z.ai
MiniMaxAI
Specification
State
Available
Available
Architecture
GLM-4 (Mixture of Experts)
Mixture-of-Experts (MoE)
Calibrated
Yes
No
Mixture of Experts
Yes
Yes
Total Parameters
355B
229B
Activated Parameters
32B
229B
Reasoning
No
No
Precision
FP8
FP8
Context length
205K
197K
Max Tokens
205K
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
Not supported
Supported
Structured Outputs
Not supported
Not supported
Tools
Supported
Supported
Fim Completion
Not supported
Not supported
Chat Prefix Completion
Not supported
Supported
GLM-4.7 in Comparison
See how GLM-4.7 compares with other popular models across key dimensions.
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VS
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VS
Kimi-K2-Instruct-0905
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
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VS
Hunyuan-A13B-Instruct
