Qwen3.6 Flash | Qwen Multimodal LLM API Pricing

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

Użycie API

Użyj poniższych przykładów kodu, aby zintegrować się z naszym 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)

Wprowadzenie do modelu

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.

Najczęstsze pytania o Qwen3.6 Flash

Ile kosztuje API Qwen3.6 Flash?+

Cennik na WaveSpeedAI: $0.25 za milion tokenów wejściowych i $1.50 za milion tokenów wyjściowych. Prompt caching i przetwarzanie wsadowe są rozliczane oddzielnie i obniżają efektywny koszt długich, powtarzalnych obciążeń.

Jakie jest okno kontekstu Qwen3.6 Flash?+

Qwen3.6 Flash obsługuje do 1000K tokenów kontekstu i do 66K tokenów wyjściowych na zapytanie.

Czy Qwen3.6 Flash jest kompatybilny z OpenAI?+

Tak. WaveSpeedAI udostępnia Qwen3.6 Flash przez endpoint kompatybilny z OpenAI pod https://llm.wavespeed.ai/v1. Skieruj oficjalny OpenAI SDK na ten base URL ze swoim kluczem API WaveSpeedAI — bez innych zmian w kodzie.

Jak zacząć z Qwen3.6 Flash?+

Zaloguj się do WaveSpeedAI, utwórz klucz API w Access Keys, a następnie wyślij żądanie na https://llm.wavespeed.ai/v1/chat/completions z id modelu pokazanym powyżej. Nowe konta otrzymują darmowe kredyty na ocenę Qwen3.6 Flash.

Cennik

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