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qwen/qwen3-8b

qwen/qwen3-8b

40,960 context · $0.05/M input tokens · $0.40/M output tokens

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...

Preços

Pagamento por uso

Sem custo inicial, pague apenas pelo que usar

Entrada$0.05 / M Tokens
Saída$0.40 / M Tokens
Cache Read$0.05 / M Tokens

Experimentar o modelo

qwen/qwen3-8b
Online
alibaba
Olá! Sou um assistente de IA útil. Em que posso ajudar?

Uso da API

Use os exemplos de código abaixo para integrar com nossa API:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="qwen/qwen3-8b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

Introdução do modelo

Qwen qwen3-8b

Qwen3-8B is a dense 8

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math, coding, and logical inference, and "non-thinking" mode for general conversation. The model is fine-tuned for instruction-following, agent integration, creative writing, and multilingual use across 100+ languages and dialects. It natively supports a 32K token context window and can extend to 131K tokens with YaRN scaling.


Why It Looks Great

  • Large Language Model architecture for efficient processing
  • 32000 context window for long document handling
  • Competitive pricing at $0.0/$0.4 per million tokens

Key Features

  • Context Window: 32000 tokens
  • Max Output: 8192 tokens
  • Vision: Supported
  • Function Calling: Supported

Specifications

SpecificationValue
ProviderQwen
Model TypeLarge Language Model (LLM)
ArchitectureN/A
Context Window32000 tokens
Max Output8192 tokens
InputText
OutputText
VisionSupported
Function CallingSupported

Pricing

Token TypeCost per Million Tokens
Input$0.0
Output$0.4

How to Use

  1. Write your prompt — describe the task, provide context, and specify desired output format.
  2. Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: qwen/qwen3-8b


API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="qwen/qwen3-8b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "qwen/qwen3-8b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

  • Model: qwen/qwen3-8b
  • Provider: Qwen

Info

Provedoralibaba
Tipollm

Funcionalidades suportadas

Entrada
Texto
Saída
Texto
Contexto40,960
Saída máx.8,192
Vision-
Function Calling✓ Suportado

Guia de acesso à API

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
ID do modeloqwen/qwen3-8b

Qwen3 8b API

qwen/qwen3-8b

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...

Entrada

$0.05 /M

Saída

$0.4 /M

Contexto

41K

Saída máx.

8K

Uso de ferramentas

Suportado

Experimente Qwen3 8b no WaveSpeedAI

Acesse Qwen3 8b através da nossa API unificada — compatível com OpenAI, sem inicializações a frio, preços transparentes.

Perguntas frequentes sobre Qwen3 8b

Quanto custa Qwen3 8b via API?+

Preços no WaveSpeedAI: $0.05 por milhão de tokens de entrada e $0.40 por milhão de tokens de saída. Prompt caching e batch processing são cobrados separadamente e reduzem o custo efetivo em cargas longas e repetitivas.

Qual é a janela de contexto do Qwen3 8b?+

Qwen3 8b suporta até 41K tokens de contexto e até 8K tokens de saída por requisição.

Qwen3 8b é compatível com OpenAI?+

Sim. O WaveSpeedAI expõe o Qwen3 8b através de um endpoint compatível com OpenAI em https://llm.wavespeed.ai/v1. Aponte o SDK oficial da OpenAI para esta base URL com sua chave API do WaveSpeedAI — sem outras alterações no código.

Como começo a usar o Qwen3 8b?+

Entre no WaveSpeedAI, crie uma chave API em Access Keys, então envie uma requisição para https://llm.wavespeed.ai/v1/chat/completions com o model id mostrado acima. Contas novas recebem créditos grátis para avaliar o Qwen3 8b.

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