Qwen3.6 Flash | Qwen Multimodal LLM API Pricing

Name: Qwen3.6 Flash API
Brand: qwen
Price: 0.25 USD
Availability: InStock

Utilisation de l'API

Utilisez les exemples de code suivants pour intégrer notre 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/qwen3.6-flash",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Introduction au modèle

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

Specification	Value
Provider	alibaba
Model Type	Chat Completions model
Architecture	text+image+video->text
Context Window	1,000,000 tokens
Max Input	934,464 tokens
Max Output	65,536 tokens
Thinking Budget	128K tokens
Input	Text, Image, Video
Output	Text
Vision	Supported
Function Calling	Supported
Built-in Tools	Supported
Structured Outputs	Supported
Batch Calling	Supported

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/qwen3.6-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)

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.

Questions fréquentes sur Qwen3.6 Flash

Combien coûte l'API Qwen3.6 Flash ?+

Tarification sur WaveSpeedAI : $0.25 par million de tokens d'entrée et $1.50 par million de tokens de sortie. Le prompt caching et le traitement par batch sont facturés séparément et réduisent le coût effectif sur les charges longues et répétitives.

Quelle est la fenêtre de contexte de Qwen3.6 Flash ?+

Qwen3.6 Flash prend en charge jusqu'à 1000K tokens de contexte et jusqu'à 66K tokens de sortie par requête.

Qwen3.6 Flash est-il compatible avec OpenAI ?+

Oui. WaveSpeedAI expose Qwen3.6 Flash via un endpoint compatible OpenAI à https://llm.wavespeed.ai/v1. Pointez le SDK officiel d'OpenAI vers cette base URL avec votre clé API WaveSpeedAI — aucune autre modification de code requise.

Comment démarrer avec Qwen3.6 Flash ?+

Connectez-vous à WaveSpeedAI, créez une clé API dans Access Keys, puis envoyez une requête à https://llm.wavespeed.ai/v1/chat/completions avec l'id du modèle affiché ci-dessus. Les nouveaux comptes reçoivent des crédits gratuits pour évaluer Qwen3.6 Flash.

Tarification

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