Fast Qwen3.7 vision-language model for text, image, video, tool use, and agentic tasks, with implicit caching and a 1M token context.
Alibaba CloudGeneracion de texto1M contextoLanzado 15 jul 2026SingaporeEndpoint propietarioNuevoFast Qwen3.7 vision-language model for text, image, video, tool use, and agentic tasks, with implicit caching and a 1M token context.
Supports text, image, and video inputs, thinking mode with enable_thinking and thinking_budget up to 131072 tokens, function calling, structured output, web search, web extractor, code interpreter, image search tools, prefix continuation, and implicit context caching. Web Search and image-search tools are billed per invoked call. Thinking tokens are billed as output tokens.
También conocido como Alibaba Cloud Qwen3.7 Flash, Qwen3.7-Flash, qwen3-7-flash
qwen3-7-flash/v1/chat/completionsPOST/v1/responsesPOST/v1/messagesPOST/v1beta/models/qwen3-7-flash:generateContentqwen3.7-flashTarifas de pago por uso en vivo del catálogo de EmpirioLabs. Solo pagas por lo que usas, sin mínimo mensual.
Qwen3.7 Flash sirve la API de Chat Completions compatible con OpenAI. Apunta cualquier SDK de OpenAI a https://api.empiriolabs.ai/v1 con tu clave de API de EmpirioLabs y usa el id de modelo qwen3-7-flash. Consigue una clave de API en el panel de EmpirioLabs.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-7-flash",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="qwen3-7-flash",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)Parámetros de solicitud compatibles con la API de Qwen3.7 Flash en EmpirioLabs. Los valores por defecto se aplican cuando se omite un campo.
| Parámetro | Tipo | Predeterminado | Rango / valores | Descripción |
|---|---|---|---|---|
| temperature | number | 0.7 | 0 a 2 | Sampling temperature. 0 is deterministic and 2 is maximum randomness. |
| top_p | number | 0.9 | 0 a 1 | Nucleus sampling probability mass. Lower values make outputs more focused. |
| max_tokens | number | 4096 | 1 a 65536 | Maximum output tokens. |
| stop | string | - | - | Up to 4 strings where the model will stop generating further tokens. |
| enable_thinking | boolean | true | - | Enable reasoning before answering. |
| reasoning_effort | enum | medium | none, low, medium, high, max | Reasoning effort level. none disables thinking. low, medium, high, and max set bounded thinking budgets sized to the selected model. |
| thinking_budget | number | 32768 | 1 a 131072 | Maximum tokens reserved for reasoning when thinking is enabled. |
| vl_high_resolution_images | boolean | true | - | Use higher resolution processing for image inputs. |
| max_pixels | number | 2621440 | 4096 a 16777216 | Maximum pixel count per image when high resolution processing is disabled. |
| video_fps | number | 2 | 0.1 a 10 | Frames per second to sample from video inputs. |
| treat_images_as_video | boolean | false | - | Treat a sequence of images as video frames. |
| tool_web_search | boolean | true | - | Search the web for real-time information. Adds $0.03 to the request cost for each invoked call. |
| tool_web_extractor | boolean | true | - | Extract and read content from URLs. Requires Web Search and Thinking. |
| tool_code_interpreter | boolean | true | - | Run Python code in a sandbox. Requires Thinking. |
Token pricing is tiered by prompt size and steps up above 32K and again above 256K input tokens. Cached prompt tokens are billed at the implicit cache rate for the matching tier. Web Search, Text-to-Image Search, and Image-to-Image Search are billed only when invoked.
Text-to-Image Search and Image-to-Image Search use the Image Search pricing row. Thinking tokens are billed as output tokens.
When this model invokes built-in tools inside a single request, the response carries a normalized usage.tool_usage map alongside the token counts. Tool counts are already factored into cost_usd and are surfaced for transparency.
:variant1
China pricing is discounted versus Singapore. Token pricing is tiered by prompt size and steps up above 32K and again above 256K input tokens. Implicit cache input uses the cached-token row. Web Search, Text-to-Image Search, and Image-to-Image Search are billed only when invoked.
Text-to-Image Search and Image-to-Image Search use the Image Search pricing row. China paid tool calls are $0.01 each. Thinking tokens are billed as output tokens.
Las variantes son versiones alternativas de Qwen3.7 Flash con su propio id de modelo. Según la variante, pueden diferir en región de servicio, precios o parámetros compatibles; todo lo demás funciona igual.
qwen3-7-flash:variant1En EmpirioLabs, Qwen3.7 Flash se factura por uso. La tabla de tarifas en vivo de esta página siempre coincide con lo que cobra la API.
Qwen3.7 Flash admite una ventana de contexto de 1M tokens con hasta 65.536 tokens de salida por respuesta.
Sí. Qwen3.7 Flash sirve la API de Chat Completions compatible con OpenAI, así que los SDKs de OpenAI existentes funcionan apuntando base_url a https://api.empiriolabs.ai/v1 y usando el id de modelo qwen3-7-flash.
Qwen3.7 Flash está disponible como 2 ids de modelo: el predeterminado qwen3-7-flash más qwen3-7-flash:variant1 (China). Las variantes pueden diferir en región de servicio, precios o parámetros compatibles; las tablas de tarifas de cada una están en esta página.
Sí. El playground de EmpirioLabs ejecuta Qwen3.7 Flash en el navegador con los mismos parámetros que expone la API, para que pruebes prompts antes de escribir código.
Crea una cuenta de EmpirioLabs y genera una clave en API Keys en el panel. La facturación es con créditos de pago por uso, así que solo pagas por las solicitudes que haces.
Consulta nuestros precios o contacta con nosotros si quieres que tu propio modelo se implemente en nuestra pila.
