GL
GLM-4.1V-9B-Base
Release date: 2025-07-02Updated: 2026-06-15 07:18:18.471982
Parameters
9B
Context length
64K
Chinese support
Supported
Reasoning ability
GLM-4.1V-9B-Base is an AI model published by Zhipu AI, released on 2025-07-02, for Multimodal model, with 9B parameters, and 64K context length, requiring about 18GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
GLM-4.1V-9B-Base
Model basics
Reasoning traces
Not supported
Thinking modes
Standard Mode (Default)Thinking Mode
Context length
64K tokens
Max output length
4K tokens
Model type
Multimodal model
Modality (in / out)
Text, Image → Text
Release date
2025-07-02
Model file size
18GB
MoE architecture
No
Total params / Active params
9B / N/A
Knowledge cutoff
No data
GLM-4.1V-9B-Base
Open source & experience
Code license
Weights license
MIT License- Commercial use permitted
GitHub repo
GitHub link unavailable
Hugging Face
GLM-4.1V-9B-Base
Official resources
Paper
DataLearnerAI blog
No blog post yet
GLM-4.1V-9B-Base
API details
API speed
3/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | ¥2.00/ 1M | ¥2.00/ 1M |
| Image | - | ¥2.00/ 1M | - |
GLM-4.1V-9B-Base
Benchmark Results
No benchmark data to show.
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GLM-4.1V-9B-Base
Publisher
Zhipu AI
View publisher details GLM-4.1V-9B-Base
Model Overview
GLM-4.1V-9B-Base is an AI model published by Zhipu AI, released on 2025-07-02, for Multimodal model, with 9B parameters, and 64K context length, requiring about 18GB storage.
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