Zhipu: 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, image Q&A, OCR, and document parsing, with strong gains in front-end web coding, grounding, and spatial reasoning. It offers a hybrid inference mode: a "thinking mode" for deep reasoning and a "non-thinking mode" for fast responses. Reasoning behavior can be toggled via the reasoning enabled boolean. Learn more in our docs
Pricing
Performance
Usage & Ranking
Supported parameters
All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.
| Parameter | Providers | Default |
|---|---|---|
| frequency_penalty | Some providers | Not sent by default |
| include_reasoning | All providers | - |
| max_tokens | All providers | - |
| presence_penalty | Some providers | - |
| reasoning | All providers | - |
| repetition_penalty | Some providers | - |
| response_format | All providers | - |
| seed | Some providers | - |
| stop | Some providers | - |
| temperature | All providers | 0.75 |
| tool_choice | All providers | - |
| tools | All providers | - |
| top_k | All providers | - |
| top_p | All providers | Not sent by default |