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Model details

GLM-4.6V-Flash

GLM-4.6V-Flash is the 9-billion-parameter member of the GLM-4.6V multimodal series open-sourced by Z.ai on December 8, 2025, sitting alongside a larger 106B foundation sibling aimed at cloud and high-performance clusters. The Flash variant is explicitly designed for local deployment and low-latency applications, making it the practical entry point for developers who want capable visual understanding without the infrastructure overhead of the full-scale model. Its training context window extends to 128k tokens, allowing it to handle long documents, extended image sequences, and complex agentic workflows within a single interaction.

What distinguishes the GLM-4.6V series—and the Flash variant within it—is the integration of native Function Calling for the first time in this line of models. Rather than routing images, screenshots, and document pages through text-only tool interfaces that risk information loss, the model accepts multimodal inputs directly as tool parameters, bridging perception and executable action for real-world agents. This native multimodal tool use, combined with its compact parameter count and open weights, positions GLM-4.6V-Flash as a flexible foundation for building responsive on-device assistants, document processors, and visual reasoning pipelines that can both understand images and act on them.

Hugging Facezai-org/GLM-4.6V-Flashglm-flash

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Provider
Hugging Face
Model key
zai-org/GLM-4.6V-Flash
Release date
Dec 8, 2025
Last updated
Dec 8, 2025
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.30
Output token cost
$0.90

Limits

Output tokens
32,768 tokens
Context window
131,072 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GLM-4.6V-Flash

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Coverage

A community-maintained Ollama listing by user "haervwe" repackages GLM-4.6V-Flash (9B) with vision, tools, and hybrid thinking enabled, using Unsloth Q4_K_M quantization. The page documents the model architecture (glm4, 9.4B parameters), a CLIP projector at 892M parameters (F16), and a default 65K-token context window, The Readme details that GLM-4.6V is offered in two versions: GLM-4.6V (106B) for cloud and high-performance cluster scenarios, and GLM-4.6V-Flash (9B) as a lightweight model optimized for local deployment and low-latency applications. Both share a 128K-token context window during training and state-of-the-art visual un

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