Model Library/Qwen3.8 Flash

Qwen3.8 Flash

qwen/qwen3.8-flash

by Qwen

Socio

Documentación de API

Input price: $0.15/ M tokens
Output price: $0.47/ M tokens
Context window: 977Ktokens
Max output: 128Ktokens

Qwen3.8-Flash is Alibaba's multimodal MoE model and an early preview of the Qwen4 architecture: 125B total parameters with only 6B activated per token, plus a 51B N-gram embedding, built on GDN + QSA hybrid attention. It accepts text, image and video input across a 1M-token context and emits up to 131K tokens, with thinking mode on by default and switchable off. Built for coding, agentic workflows, visual and long-document understanding, and long-video analysis at a fraction of the cost of comparable frontier models.

Características

API serverless

Documentación

qwen/qwen3.8-flash is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

Serverless disponible

Ejecuta consultas de inmediato, paga solo por el uso

Entrada$0.15 / M Tokens

Lectura de caché$0.016 / M Tokens

Escritura de caché (5 min)$0.2 / M Tokens

Salida$0.47 / M Tokens

Obtén tu clave de API
Regístrate y crea una clave para ejecutar el código de abajo. La API es compatible con OpenAI.
Iniciar sesión Obtén tu clave de API

Make your first request

The API is OpenAI-compatible: point any OpenAI SDK at the base URL and pass this model ID.

Base URL: https://api.novita.ai/openaihttps://api.novita.ai/anthropic
Model ID: qwen/qwen3.8-flash
API Endpoint: chat/completionsresponses

1from openai import OpenAI
2
3client = OpenAI(
4    api_key="<Your API Key>",
5    base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9    model="qwen/qwen3.8-flash",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=131072,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)