Z.ai: GLM 4.6V
Z.ai's GLM 4.6V is a multimodal model supporting image and video inputs, but its benchmark scores are limited across reasoning, coding, and instruction-following; restricted Western availability further limits its practical appeal for UK businesses.
Assessment date: April 10, 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
Performance Profile
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..
Capabilities
Architecture
| Modality | Text + Image + Video → Text |
| Tokenizer | Other |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Z.ai: GLM 4.6V stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
z-ai/glm-4.6v
|
| Provider | z-ai |
| Release Date | December 8, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 131,072 tokens |
| Status | Active |
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.
Leaderboard Categories
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 15, 2026 8:53 pm