GL

GLM-4.6V

Multimodal modelGLM-VGLM-4.6V

GLM-4.6V 106B-A12B

Release date: 2025-12-08Updated: 2026-06-14 23:13:20.198792
Parameters
108B
Context length
128K
Chinese support
Supported
Reasoning ability

GLM-4.6V 106B-A12B is an AI model published by 智谱AI, released on 2025-12-08, for Multimodal model, with 108B parameters, and 128K context length, under the MIT License license, with a 40.07 score on LiveBench.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

GLM-4.6V

Model basics

Reasoning traces
Not supported
Thinking modes
Standard Mode
Context length
128K tokens
Max output length
No data
Model type
Multimodal model
Modality (in / out)
Text, Image → Text
Release date
2025-12-08
Model file size
No data
MoE architecture
Yes
Total params / Active params
108B / 12B
Knowledge cutoff
No data
GLM-4.6V

Open source & experience

Code license
Weights license
MIT License- 免费商用授权
Live demo
No live demo
GLM-4.6V

Official resources

DataLearnerAI blog
No blog post yet
GLM-4.6V

API details

API speed
3/5
No public API pricing yet.
GLM-4.6V

Benchmark Results

GLM-4.6V currently shows benchmark results led by LiveBench (109 / 115, score 40.07). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
LiveBench
Standard Mode
40.07
109 / 115

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GLM-4.6V

Publisher

GLM-4.6V 106B-A12B

Model Overview

GLM-4.6V 106B-A12B is an AI model published by 智谱AI, released on 2025-12-08, for Multimodal model, with 108B parameters, and 128K context length, under the MIT License license, with a 40.07 score on LiveBench.

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