Qwen 2.5 Coder 32b Instruct | Qwen LLM API

Name: Qwen 2.5 Coder 32b Instruct API
Brand: qwen
Price: 0.66 USD
Availability: InStock

Utilizzo API

Usa i seguenti esempi di codice per integrare la nostra 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/qwen-2.5-coder-32b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Introduzione al modello

Qwen qwen-2.5-coder-32b-instruct

qwen qwen-2.5-coder-32b-instruct

Why It Looks Great

Large Language Model architecture for efficient processing
32768 context window for long document handling
Competitive pricing at $0.0/$0.1 per million tokens

Key Features

Context Window: 32768 tokens
Max Output: 32768 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Qwen
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	32768 tokens
Max Output	32768 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.0
Output	$0.1

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
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/qwen-2.5-coder-32b-instruct

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/qwen-2.5-coder-32b-instruct",
    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/qwen-2.5-coder-32b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: qwen/qwen-2.5-coder-32b-instruct
Provider: Qwen

Domande frequenti su Qwen 2.5 Coder 32b Instruct

Quanto costa Qwen 2.5 Coder 32b Instruct via API?+

Prezzi su WaveSpeedAI: $0.66 per milione di token in input e $1.00 per milione di token in output. Prompt caching e batch processing sono fatturati separatamente e riducono il costo effettivo su carichi lunghi e ripetitivi.

Qual è la context window di Qwen 2.5 Coder 32b Instruct?+

Qwen 2.5 Coder 32b Instruct supporta fino a 33K token di contesto e fino a 33K token di output per richiesta.

Qwen 2.5 Coder 32b Instruct è compatibile con OpenAI?+

Sì. WaveSpeedAI espone Qwen 2.5 Coder 32b Instruct tramite un endpoint compatibile con OpenAI all'indirizzo https://llm.wavespeed.ai/v1. Punta l'SDK ufficiale di OpenAI a questa base URL con la tua API key WaveSpeedAI — senza altre modifiche al codice.

Come si inizia con Qwen 2.5 Coder 32b Instruct?+

Accedi a WaveSpeedAI, crea una API key in Access Keys, poi invia una richiesta a https://llm.wavespeed.ai/v1/chat/completions con il model id mostrato sopra. I nuovi account ricevono crediti gratuiti per testare Qwen 2.5 Coder 32b Instruct.

Prezzi