GLM-Z1-9B-0414
About GLM-Z1-9B-0414
GLM-Z1-9B-0414 is a small-sized model in the GLM series with only 9 billion parameters that maintains the open-source tradition while showcasing surprising capabilities. Despite its smaller scale, GLM-Z1-9B-0414 still exhibits excellent performance in mathematical reasoning and general tasks. Its overall performance is already at a leading level among open-source models of the same size. The research team employed the same series of techniques used for larger models to train this 9B model. Especially in resource-constrained scenarios, this model achieves an excellent balance between efficiency and effectiveness, providing a powerful option for users seeking lightweight deployment. The model features deep thinking capabilities and can handle long contexts through YaRN technology, making it particularly suitable for applications requiring mathematical reasoning abilities with limited computational resources
Available Serverless
Run queries immediately, pay only for usage
$
0.086
/
$
0.086
Per 1M Tokens (input/output)
Metadata
Specification
State
Available
Architecture
Calibrated
Yes
Mixture of Experts
No
Total Parameters
9B
Activated Parameters
9B
Reasoning
No
Precision
FP8
Context length
131K
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
Supported
Structured Outputs
Not supported
Tools
Supported
Fim Completion
Not supported
Chat Prefix Completion
Not supported
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Input:
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Total Context:
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Max output:
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Max output:
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Input:
$
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/ M Tokens
Output:
$
0.086
/ M Tokens

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Release on: Apr 18, 2025
Total Context:
33K
Max output:
33K
Input:
$
0.086
/ M Tokens
Output:
$
0.086
/ M Tokens
Model FAQs: Usage, Deployment
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