GLM-4.7
About GLM-4.7
GLM-4.7 is Zhipu’s new-generation flagship model, with 355B total parameters and 32B activated parameters, delivering comprehensive upgrades in general conversation, reasoning, and agent capabilities. Responses are more concise and natural; writing feels more immersive; tool-call instructions are followed more reliably; and the front-end polish of artifacts and agentic coding—along with long-horizon task completion efficiency—has been further improved.
Available Serverless
Run queries immediately, pay only for usage
$
0.6
/
$
2.2
Per 1M Tokens (input/output)
Metadata
Specification
State
Available
Architecture
Calibrated
Yes
Mixture of Experts
Yes
Total Parameters
355B
Activated Parameters
32B
Reasoning
No
Precision
FP8
Context length
200K
Max Tokens
131K
Supported Functionality
Serverless
Supported
Serverless LoRA
Not supported
Fine-tuning
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Not supported
JSON Mode
Not supported
Structured Outputs
Not supported
Tools
Supported
Fim Completion
Not supported
Chat Prefix Completion
Not supported
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Total Context:
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Max output:
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Input:
$
0.6
/ M Tokens
Output:
$
2.2
/ M Tokens
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GLM-4.6V
Release on: Dec 8, 2025
Total Context:
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Max output:
131K
Input:
$
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/ M Tokens
Output:
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Release on: Oct 4, 2025
Total Context:
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Max output:
205K
Input:
$
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Output:
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Release on: Jul 28, 2025
Total Context:
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Max output:
131K
Input:
$
0.4
/ M Tokens
Output:
$
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/ M Tokens
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Release on: Jul 28, 2025
Total Context:
131K
Max output:
131K
Input:
$
0.14
/ M Tokens
Output:
$
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/ M Tokens
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GLM-4.5V
Release on: Aug 13, 2025
Total Context:
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Max output:
66K
Input:
$
0.14
/ M Tokens
Output:
$
0.86
/ M Tokens
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GLM-4.1V-9B-Thinking
Release on: Jul 4, 2025
Total Context:
66K
Max output:
66K
Input:
$
0.035
/ M Tokens
Output:
$
0.14
/ M Tokens
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GLM-Z1-32B-0414
Release on: Apr 18, 2025
Total Context:
131K
Max output:
131K
Input:
$
0.14
/ M Tokens
Output:
$
0.57
/ M Tokens
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GLM-4-32B-0414
Release on: Apr 18, 2025
Total Context:
33K
Max output:
33K
Input:
$
0.27
/ M Tokens
Output:
$
0.27
/ M Tokens
Model FAQs: Usage, Deployment
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