Z.ai: GLM 4.6V
Z.ai's GLM 4.6V is a multimodal model with vision and video input support, but its benchmark scores across reasoning, coding, and instruction following are weak. It may suit basic visual tasks but falls well short of the performance bar for serious business applications, and provider accessibility considerations apply for UK businesses.
Assessment date: March 14, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts and charts directly as visual inputs, and integrates native multimodal function calling to connect perception with downstream tool execution. The model also enables interleaved image-text generation and UI reconstruction workflows, including screenshot-to-HTML synthesis and iterative visual editing.
Capabilities
Architecture
| Modality | Text + Image + Video → Text |
| Tokenizer | Other |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Evaluations
Benchmark data from Artificial Analysis and Hugging Face
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.30 | $0.000300 |
| Output | $0.90 | $0.000900 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
