GLM 4.6V
GLM 4.6V is a multimodal text generation model from Z.ai with a 131,072 token context window and configurable reasoning effort.
Z.ai
DeepInfraMultimodal text generation with adjustable reasoning
GLM 4.6V is a text generation model developed by Z.ai (formerly Zhipu AI) and made available through DeepInfra. It belongs to the GLM (General Language Model) family and supports a context window of 131,072 tokens, with a maximum response size of 16,384 tokens. The model includes a configurable reasoning effort setting, allowing users to adjust how much computational effort the model applies when generating responses.
GLM 4.6V is suited for tasks that benefit from long-context understanding, such as document analysis, extended conversations, and complex instruction following. The adjustable reasoning effort input gives developers control over the trade-off between response speed and depth of reasoning. It is hosted on DeepInfra and accessible through MindStudio without requiring separate API key management.
What GLM 4.6V supports
Long Context Window
Processes up to 131,072 tokens in a single request, enabling analysis of lengthy documents or extended multi-turn conversations.
Adjustable Reasoning
Exposes a reasoning effort toggle that lets users control how deeply the model reasons before generating a response.
Extended Response Output
Supports responses of up to 16,384 tokens, accommodating detailed answers, long-form content, and structured outputs.
Instruction Following
Handles complex, multi-step instructions across a wide range of text generation tasks including summarization, Q&A, and drafting.
Multilingual Support
The GLM model family is trained on multilingual data with particular strength in Chinese and English language tasks.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 78.4% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 63.2% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 56.1% |
| HLE | Questions that challenge frontier models across many domains | 5.2% |
| SciCode | Scientific research coding and numerical methods | 33.1% |
Common questions about GLM 4.6V
What is the context window size for GLM 4.6V?
GLM 4.6V supports a context window of 131,072 tokens, allowing it to process large documents or long conversation histories in a single request.
What does the reasoning effort setting do?
The reasoning effort toggle lets you adjust how much computational effort the model applies when generating a response. Higher effort may produce more thorough reasoning, while lower effort can yield faster responses.
What is the maximum response length?
The model can generate responses of up to 16,384 tokens per request.
Who developed GLM 4.6V and where is it hosted?
GLM 4.6V was developed by Z.ai (published under the zai-org organization) and is served through DeepInfra as the infrastructure provider.
Is pricing information available for GLM 4.6V?
Pricing details are not published in the current model metadata. You can check MindStudio or DeepInfra directly for the latest pricing information.
When was GLM 4.6V released?
GLM 4.6V was released in December 2025 and added to the MindStudio catalog in January 2026.
What people think about GLM 4.6V
Community reception on r/LocalLLaMA was positive at launch, with both the 106B and 9B Flash variants receiving several hundred upvotes and active discussion threads. Users highlighted the native visual function calling capability and the availability of a locally runnable 9B version as notable aspects of the release.
Some community members discussed hardware requirements for running the larger 106B model, with a later thread specifically covering deployment on dual RTX Pro 6000 setups with 192 GB VRAM using vLLM. The Flash variant drew particular interest from users focused on local inference and lower-resource deployments.
zai-org/GLM-4.6V-Flash (9B) is here
GLM-4.6V (108B) has been released
HOWTO: Running the best models on a dual RTX Pro 6000 rig with vLLM (192 GB VRAM)
Documentation & links
Parameters & options
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