Qwen3 VL 235B A22B Instruct

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table extraction, multilingual OCR). 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.

ChatQwen262k tokens$0.2289 / $2.0711 · 1M

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

Contexto
262k 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-instruct",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
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Preguntas frecuentes

¿Qué es Qwen3 VL 235B A22B Instruct?
Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table extraction, multilingual OCR). 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 Instruct corre en el API de Geek Hub (compatible con OpenAI). Id: qwen/qwen3-vl-235b-a22b-instruct.
¿Qwen3 VL 235B A22B Instruct es gratis?
No. El input cuesta $0.2289 / 1M tokens y el output $2.0711 / 1M tokens en Geek Hub (markup incluido).
¿Cuál es el contexto de Qwen3 VL 235B A22B Instruct?
Qwen3 VL 235B A22B Instruct tiene una ventana de 262k tokens. Soporta hasta 32,768 tokens de completion.
¿Qwen3 VL 235B A22B Instruct soporta tool calling y structured outputs?
Qwen3 VL 235B A22B Instruct 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 Instruct?
Qwen3 VL 235B A22B Instruct se lanzó el 23 de septiembre de 2025.

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