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GLM 4.1V 9B Thinking
thudm/glm-4.1v-9b-thinking
GLM-4.1V-9B-Thinking is an open-source Vision-Language Model (VLM) jointly released by Zhipu AI and Tsinghua University’s KEG Lab, specifically designed to handle complex multimodal cognitive tasks. Built upon the GLM-4-9B-0414 base model, it integrates Chain-of-Thought (CoT) reasoning and employs reinforcement learning strategies, significantly enhancing its cross-modal reasoning capabilities and stability. As a lightweight model with 9B parameters, it strikes an optimal balance between deployment efficiency and performance. Across 28 authoritative benchmark evaluations, it matches or surpasses the performance of the 72B-parameter Qwen-2.5-VL-72B in 18 metrics. The model excels in tasks such as image-text understanding, mathematical and scientific reasoning, and video comprehension, while also supporting 4K-resolution images and arbitrary aspect ratios.
Features
Serverless API
Docs
thudm/glm-4.1v-9b-thinking is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.
On-demand Deployments
Docs
On-demand deployments allow you to use thudm/glm-4.1v-9b-thinking on dedicated GPUs with high-performance serving stack with high reliability and no rate limits.
Available Serverless
Run queries immediately, pay only for usage
Input$0.035 / M Tokens
Output$0.138 / M Tokens
Use the following code examples to integrate with our API:
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="thudm/glm-4.1v-9b-thinking",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=8000,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)Info
Provider
Zai-org
Quantization
bf16
Supported Functionality
Context Length
65536
Max Output
8000
Reasoning
Supported
Input Capabilities
text
Output Capabilities
text