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alibaba
qwen/qwen3.6-flash

qwen/qwen3.6-flash

Yayın tarihi: 2026-04-27

1,000,000 context · $0.25/M input tokens · $1.50/M output tokens

Qwen3.6 Flash is a fast, efficient multimodal language model from Alibaba’s Qwen 3.6 series. It supports text, image, and video inputs with a 1M-token context window and up to 64K output tokens. The model is designed for high-throughput chat, lightweight agent workflows, long-document understanding, visual reasoning, summarization, extraction, and cost-sensitive production workloads. It supports thinking mode, function calling, built-in tools, structured outputs, and batch calling.

Fiyatlandırma

Kullandıkça öde

Ön ödeme yok, yalnızca kullandığınız kadar ödeyin

Giriş
256K $0.25 / M Tokens
> 256K $1.00 / M Tokens
Çıkış
256K $1.50 / M Tokens
> 256K $4.00 / M Tokens
Cache Read
256K $0.03 / M Tokens
> 256K $0.10 / M Tokens
Cache Write$0.31 / M Tokens

Modeli dene

qwen/qwen3.6-flash
Çevrimiçi
alibaba
Merhaba! Yardımcı bir yapay zeka asistanıyım. Size nasıl yardımcı olabilirim?
Bu modeli yerel bir coding agent içinde kullanmaya hazır mısınız?Agent setup

API Kullanımı

API'mizle entegre etmek için aşağıdaki kod örneklerini kullanın:

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["WAVESPEED_API_KEY"],
    base_url="https://llm.wavespeed.ai/v1",
    timeout=120.0,
    max_retries=2,
)

try:
    response = client.chat.completions.create(
        model="qwen/qwen3.6-flash",
        messages=[{"role": "user", "content": "Hello!"}],
    )
    print(response.choices[0].message.content or "")
except Exception as exc:
    raise SystemExit(f"LLM request failed: {exc}") from exc

Model Tanıtımı

Qwen: Qwen3.6 Flash

Qwen3.6 Flash is a fast, efficient multimodal language model from Alibaba’s Qwen 3.6 series. It supports text, image, and video inputs with a 1M-token context window, making it a strong fit for high-volume chat, lightweight agents, long-document workflows, visual understanding, summarization, and structured extraction.


Why It Looks Great

  • Fast, cost-efficient Qwen 3.6 model for high-throughput production workloads
  • Multimodal text, image, and video input support for visual and document understanding
  • 1M-token context window for long prompts, large files, and multi-turn workflows
  • Up to 64K output tokens for extended answers and structured generation
  • Thinking mode support for reasoning-heavy requests
  • Function calling and built-in tool support for agentic workflows
  • Structured output support for JSON responses and schema-constrained generation
  • Batch calling support for large-scale offline or asynchronous workloads

Key Features

  • Context Window: 1,000,000 tokens
  • Max Input: 934,464 tokens
  • Max Output: 65,536 tokens
  • Input: Text, Image, Video
  • Output: Text
  • Vision: Supported
  • Function Calling: Supported
  • Built-in Tools: Supported
  • Structured Outputs: Supported
  • Batch Calling: Supported
  • Thinking Budget: up to 128K tokens
  • Supported Parameters: include_reasoning, max_tokens, presence_penalty, reasoning, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_p

Specifications

SpecificationValue
Provideralibaba
Model TypeChat Completions model
Architecturetext+image+video->text
Context Window1,000,000 tokens
Max Input934,464 tokens
Max Output65,536 tokens
Thinking Budget128K tokens
InputText, Image, Video
OutputText
VisionSupported
Function CallingSupported
Built-in ToolsSupported
Structured OutputsSupported
Batch CallingSupported

How to Use

  1. Write your prompt - describe the task, provide context, and specify the 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/qwen3.6-flash


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/qwen3.6-flash",
    messages=[{"role": "user", "content": "Hello!"}]
)

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

Bilgi

Sağlayıcıalibaba
Türllm

Desteklenen İşlevsellik

Giriş
MetinGörsel
Çıkış
Metin
Bağlam1,000,000
Maks. Çıkış65,536
Vision✓ Destekleniyor
Function Calling✓ Destekleniyor

API Erişim Kılavuzu

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
Model IDqwen/qwen3.6-flash

Qwen3.6 Flash API

qwen/qwen3.6-flash

Qwen3.6 Flash is a fast, efficient multimodal language model from Alibaba’s Qwen 3.6 series. It supports text, image, and video inputs with a 1M-token context window and up to 64K output tokens. The model is designed for high-throughput chat, lightweight agent workflows, long-document understanding, visual reasoning, summarization, extraction, and cost-sensitive production workloads. It supports thinking mode, function calling, built-in tools, structured outputs, and batch calling.

Giriş

$0.25 /M

Çıkış

$1.5 /M

Bağlam

1000K

Maks. Çıkış

66K

Vision

Destekleniyor

Araç Kullanımı

Destekleniyor

Qwen3.6 Flash'i WaveSpeedAI'da deneyin

Birleşik API'miz aracılığıyla Qwen3.6 Flash'e erişin — OpenAI uyumlu, soğuk başlatma yok, şeffaf fiyatlandırma.

Qwen3.6 Flash hakkında sık sorulan sorular

Qwen3.6 Flash API ücreti ne kadar?+

WaveSpeedAI fiyatlandırması: milyon giriş tokenı başına $0.25 ve milyon çıkış tokenı başına $1.50. Prompt caching ve toplu işleme ayrı faturalanır ve uzun, tekrar eden yüklerde etkin maliyeti düşürür.

Qwen3.6 Flash'in bağlam penceresi nedir?+

Qwen3.6 Flash istek başına 1000K bağlam tokenını ve 66K çıkış tokenını destekler.

Qwen3.6 Flash OpenAI uyumlu mu?+

WaveSpeedAI, Qwen3.6 Flash 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.

Qwen3.6 Flash'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.

İlgili LLM API'leri

Qwen3.6 Flash | Qwen Multimodal LLM API Pricing | WaveSpeedAI