Qwen3 Coder Next | Alibaba Open-Weight Coding API

Name: Qwen3 Coder Next API
Brand: qwen
Price: 0.15 USD
Availability: InStock

Использование API

Используйте следующие примеры кода для интеграции с нашим 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-coder-next",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Описание модели

Qwen qwen3-coder-next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per token, delivering performance comparable to models with 10 to 20x higher active compute, which makes it well suited for cost-sensitive, always-on agent deployment.

The model is trained with a strong agentic focus and performs reliably on long-horizon coding tasks, complex tool usage, and recovery from execution failures. With a native 256k context window, it integrates cleanly into real-world CLI and IDE environments and adapts well to common agent scaffolds used by modern coding tools. The model operates exclusively in non-thinking mode and does not emit <think> blocks, simplifying integration for production coding agents.

Why It Looks Great

Large Language Model architecture for efficient processing
262144 context window for long document handling
Competitive pricing at $0.1/$0.3 per million tokens

Key Features

Context Window: 262144 tokens
Max Output: 65536 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Qwen
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	262144 tokens
Max Output	65536 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.1
Output	$0.3

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/qwen3-coder-next

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-coder-next",
    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-coder-next",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: qwen/qwen3-coder-next
Provider: Qwen

Часто задаваемые вопросы о Qwen3 Coder Next

Сколько стоит Qwen3 Coder Next через API?+

Цены на WaveSpeedAI: $0.15 за миллион входных токенов и $0.80 за миллион выходных токенов. Prompt caching и batch processing тарифицируются отдельно и снижают эффективную стоимость длинных повторяющихся нагрузок.

Каково контекстное окно Qwen3 Coder Next?+

Qwen3 Coder Next поддерживает до 262K токенов контекста и до 66K токенов вывода на запрос.

Совместим ли Qwen3 Coder Next с OpenAI?+

Да. WaveSpeedAI предоставляет Qwen3 Coder Next через OpenAI-совместимый endpoint по адресу https://llm.wavespeed.ai/v1. Направьте официальный OpenAI SDK на этот base URL с ключом API WaveSpeedAI — других изменений в коде не требуется.

Как начать работу с Qwen3 Coder Next?+

Войдите в WaveSpeedAI, создайте API-ключ в Access Keys и отправьте запрос на https://llm.wavespeed.ai/v1/chat/completions с указанным выше model id. Новые аккаунты получают бесплатные кредиты для оценки Qwen3 Coder Next.

Цены

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