AI Observatory / Model Radar
Z Ai / z-ai/glm-4.5v
Z.ai: GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
65,536
Context
16,384
Max output
$0.60 / 1M
Prompt price
2025-08-11
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Z Ai | Input modalities | text, image |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.60 / 1M |
| Completion price | $1.80 / 1M | Request price | N/A |
| Context length | 65,536 | Max completion tokens | 16,384 |
| Supported parameters | frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, repetition_penalty, seed, stop, temperature, tool_choice, tools, top_k, top_p | ||
Best for
z-ai/glm-4.5v
Z.ai: GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
Cross-modal work
High-volume usage
Coding workflows
vision
tool-capable
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.