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

ChatZhipu66k tokens$0.654 / $1.9621 · 1M

z-ai/glm-4.5v

Contexto
66k tokens
Máx. completion
16,384
Tools
Sí
JSON
Sí
Lanzamiento
2025-08-11

Llámalo desde Geek Hub

El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.

curl https://api.geekhub.mx/v1/chat/completions \
  -H "Authorization: Bearer $GEEKHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/glm-4.5v",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Consigue tu API key

Preguntas frecuentes

¿Qué es 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 GLM 4.5V corre en el API de Geek Hub (compatible con OpenAI). Id: z-ai/glm-4.5v.
¿GLM 4.5V es gratis?
No. El input cuesta $0.654 / 1M tokens y el output $1.9621 / 1M tokens en Geek Hub (markup incluido).
¿Cuál es el contexto de GLM 4.5V?
GLM 4.5V tiene una ventana de 66k tokens. Soporta hasta 16,384 tokens de completion.
¿GLM 4.5V soporta tool calling y structured outputs?
GLM 4.5V acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
¿Cuándo se lanzó GLM 4.5V?
GLM 4.5V se lanzó el 11 de agosto de 2025.

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