Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math. The series emphasizes robust perception (recognition of diverse real-world and synthetic categories), spatial understanding (2D/3D grounding), and long-form visual comprehension, with competitive results on public multimodal benchmarks for both perception and reasoning. Beyond analysis, Qwen3-VL supports agentic interaction and tool use: it can follow complex instructions over multi-image, multi-turn dialogues; align text to video timelines for precise temporal queries; and operate GUI elements for automation tasks. The models also enable visual coding workflows, turning sketches or mockups into code and assisting with UI debugging, while maintaining strong text-only performance comparable to the flagship Qwen3 language models. This makes Qwen3-VL suitable for production scenarios spanning document AI, multilingual OCR, software/UI assistance, spatial/embodied tasks, and research on vision-language agents.

ChatQwen131k tokens$0.436 / $4.3602 · 1M

qwen/qwen3-vl-235b-a22b-thinking

Contexto
131k tokens
Máx. completion
32,768
Tools
Sí
JSON
Sí
Lanzamiento
2025-09-23

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": "qwen/qwen3-vl-235b-a22b-thinking",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Consigue tu API key

Preguntas frecuentes

¿Qué es Qwen3 VL 235B A22B Thinking?
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math. The series emphasizes robust perception (recognition of diverse real-world and synthetic categories), spatial understanding (2D/3D grounding), and long-form visual comprehension, with competitive results on public multimodal benchmarks for both perception and reasoning. Beyond analysis, Qwen3-VL supports agentic interaction and tool use: it can follow complex instructions over multi-image, multi-turn dialogues; align text to video timelines for precise temporal queries; and operate GUI elements for automation tasks. The models also enable visual coding workflows, turning sketches or mockups into code and assisting with UI debugging, while maintaining strong text-only performance comparable to the flagship Qwen3 language models. This makes Qwen3-VL suitable for production scenarios spanning document AI, multilingual OCR, software/UI assistance, spatial/embodied tasks, and research on vision-language agents. Qwen3 VL 235B A22B Thinking corre en el API de Geek Hub (compatible con OpenAI). Id: qwen/qwen3-vl-235b-a22b-thinking.
¿Qwen3 VL 235B A22B Thinking es gratis?
No. El input cuesta $0.436 / 1M tokens y el output $4.3602 / 1M tokens en Geek Hub (markup incluido).
¿Cuál es el contexto de Qwen3 VL 235B A22B Thinking?
Qwen3 VL 235B A22B Thinking tiene una ventana de 131k tokens. Soporta hasta 32,768 tokens de completion.
¿Qwen3 VL 235B A22B Thinking soporta tool calling y structured outputs?
Qwen3 VL 235B A22B Thinking acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
¿Cuándo se lanzó Qwen3 VL 235B A22B Thinking?
Qwen3 VL 235B A22B Thinking se lanzó el 23 de septiembre de 2025.

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