Model Comparison
GLM-4.6
vs
GLM-5
Feb 15, 2026
Pricing
Input
$
0.39
/ M Tokens
$
0.3
/ M Tokens
Output
$
1.9
/ M Tokens
$
2.55
/ M Tokens
Metadata
Specification
State
Available
Available
Architecture
Mixture of Experts Transformer
Mixture of Experts (MoE) with DeepSeek Sparse Attention (DSA) and asynchronous RL stack
Calibrated
Yes
No
Mixture of Experts
Yes
Yes
Total Parameters
335B
750B
Activated Parameters
40B
Reasoning
No
No
Precision
FP8
FP8
Context length
205K
205K
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
Supported
Not supported
Structured Outputs
Not supported
Not supported
Tools
Supported
Supported
Fim Completion
Not supported
Not supported
Chat Prefix Completion
Supported
Not supported
GLM-4.6 in Comparison
See how GLM-4.6 compares with other popular models across key dimensions.
VS
MiniMax-M2.5
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GLM-5
VS
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Qwen3-VL-235B-A22B-Instruct
VS
Qwen3-VL-235B-A22B-Thinking
VS
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VS
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VS
Qwen3-Next-80B-A3B-Instruct
VS
Qwen3-Next-80B-A3B-Thinking
VS
Kimi-K2-Instruct-0905
VS
gpt-oss-120b
VS
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VS
Qwen3-235B-A22B-Thinking-2507
VS
Qwen3-Coder-480B-A35B-Instruct
VS
Qwen3-235B-A22B-Instruct-2507
