qwen/qwen3.7-max
Yayın tarihi: 2026-05-21
1,000,000 context · $2.50/M input tokens · $7.50/M output tokens
Qwen3.7-Max is Alibaba’s flagship model in the Qwen3.7 series, built for agent-centric text workflows. It is optimized for coding, debugging, office automation, productivity tasks, tool use, and long-horizon autonomous execution. With a 1M-token context window and up to 64K output tokens, it is well suited for large documents, repository-scale coding, multi-step planning, structured generation, and workflows that require sustained reasoning across hundreds or thousands of steps.
Fiyatlandırma
Kullandıkça öde
Ön ödeme yok, yalnızca kullandığınız kadar ödeyin
Modeli dene
API Kullanımı
API'mizle entegre etmek için aşağıdaki kod örneklerini kullanın:
import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'qwen/qwen3.7-max',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'qwen/qwen3.7-max',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}Model Tanıtımı
Qwen: Qwen3.7 Max
Qwen3.7-Max is Alibaba’s flagship model in the Qwen3.7 series, designed for agent-centric text workflows. It is optimized for coding, debugging, office automation, productivity tasks, tool use, and long-horizon autonomous execution.
Why It Looks Great
- Flagship Qwen3.7 model built for agentic workloads
- Strong fit for coding, debugging, office automation, productivity tasks, and tool use
- 1M-token context window for long prompts, large documents, codebases, and multi-turn workflows
- Up to 64K output tokens for extended reasoning, coding, and structured generation
- Designed for long-horizon autonomous execution across complex multi-step tasks
- Function calling and tool-use support for agentic application workflows
- Structured output support for JSON responses and schema-constrained generation
- Reasoning controls for tuning latency, quality, and cost per request
Key Features
- Context Window: 1,000,000 tokens
- Max Input: 934,464 tokens
- Max Output: 65,536 tokens
- Input: Text
- Output: Text
- Vision: Not listed
- Function Calling: Supported
- Structured Outputs: Supported
- Thinking Mode: Supported
- Image Generation: Not listed
- Audio Input: Not listed
- Supported Parameters: include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p
Specifications
| Specification | Value |
|---|---|
| Provider | alibaba |
| Model Type | Chat Completions model |
| Architecture | text->text |
| Context Window | 1,000,000 tokens |
| Max Input | 934,464 tokens |
| Max Output | 65,536 tokens |
| Input | Text |
| Output | Text |
| Vision | Not listed |
| Function Calling | Supported |
| Structured Outputs | Supported |
| Thinking Mode | Supported |
| Primary Use Cases | Coding, office automation, productivity workflows, long-horizon agents, tool use |
| Release | May 2026 |
Pricing
| Token Type | Cost |
|---|---|
| Input | $2.50 per million tokens |
| Output | $7.50 per million tokens |
| Cache Write | $3.125 per million tokens |
How to Use
- Write your prompt - describe the task, provide context, and specify the 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/qwen3.7-max
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/qwen3.7-max",
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/qwen3.7-max",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: qwen/qwen3.7-max
- Provider: alibaba
- Best suited for coding agents, office automation, long-context text workflows, multi-step productivity tasks, tool use, and structured output generation
Bilgi
Desteklenen İşlevsellik
API Erişim Kılavuzu
Qwen3.7 Max API
qwen/qwen3.7-max
Qwen3.7-Max is Alibaba’s flagship model in the Qwen3.7 series, built for agent-centric text workflows. It is optimized for coding, debugging, office automation, productivity tasks, tool use, and long-horizon autonomous execution. With a 1M-token context window and up to 64K output tokens, it is well suited for large documents, repository-scale coding, multi-step planning, structured generation, and workflows that require sustained reasoning across hundreds or thousands of steps.
Giriş
$2.5 /M
Çıkış
$7.5 /M
Bağlam
1000K
Maks. Çıkış
66K
Araç Kullanımı
Destekleniyor
Qwen3.7 Max'i WaveSpeedAI'da deneyin
Birleşik API'miz aracılığıyla Qwen3.7 Max'e erişin — OpenAI uyumlu, soğuk başlatma yok, şeffaf fiyatlandırma.
Qwen3.7 Max hakkında sık sorulan sorular
Qwen3.7 Max API ücreti ne kadar?+
WaveSpeedAI fiyatlandırması: milyon giriş tokenı başına $2.50 ve milyon çıkış tokenı başına $7.50. Prompt caching ve toplu işleme ayrı faturalanır ve uzun, tekrar eden yüklerde etkin maliyeti düşürür.
Qwen3.7 Max'in bağlam penceresi nedir?+
Qwen3.7 Max istek başına 1000K bağlam tokenını ve 66K çıkış tokenını destekler.
Qwen3.7 Max OpenAI uyumlu mu?+
WaveSpeedAI, Qwen3.7 Max modelini https://llm.wavespeed.ai/v1 adresindeki OpenAI uyumlu Chat Completions arayüzü üzerinden sunar. Çoğu OpenAI SDK istemcisinde base URL ve API anahtarını değiştirmek yeterlidir; isteğe bağlı alanlar modele bağlıdır.
Qwen3.7 Max'e nasıl başlarım?+
WaveSpeedAI’a giriş yapın, Access Keys bölümünde bir API anahtarı oluşturun ve yukarıdaki model id ile https://llm.wavespeed.ai/v1/chat/completions adresine istek gönderin. Güncel kullanılabilirlik, özellikler ve fiyatlar için model kataloğunu kontrol edin.