Model Comparison
GLM-4.6
vs
Hunyuan-A13B-Instruct
Jan 13, 2026
Pricing
Input
$
0.39
/ M Tokens
$
0.14
/ M Tokens
Output
$
1.9
/ M Tokens
$
0.57
/ M Tokens
Metadata
Create on
Sep 29, 2025
Jun 25, 2025
License
MIT
-
Provider
Z.ai
Tencent
Specification
State
Available
Available
Architecture
Calibrated
Yes
Yes
Mixture of Experts
Yes
Yes
Total Parameters
335B
80B
Activated Parameters
13B
Reasoning
No
No
Precision
FP8
FP8
Context length
205K
131K
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
Supported
Structured Outputs
Not supported
Not supported
Tools
Supported
Not 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
GLM-4.7
VS
GLM-4.6V
VS
Kimi-K2-Thinking
VS
MiniMax-M2
VS
Qwen3-VL-235B-A22B-Instruct
VS
Qwen3-VL-235B-A22B-Thinking
VS
Ring-flash-2.0
VS
Ling-flash-2.0
VS
Qwen3-Next-80B-A3B-Instruct
VS
Qwen3-Next-80B-A3B-Thinking
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
Kimi-K2-Instruct
VS
Hunyuan-A13B-Instruct
VS
Kimi-Dev-72B
VS
MiniMax-M1-80k
