Qwen3.6 27B | Qwen Multimodal LLM API Pricing

Name: Qwen3.6 27b API
Brand: qwen
Price: 0.54 USD
Availability: InStock

Penggunaan API

Gunakan contoh kode berikut untuk integrasi dengan API kami:

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/qwen3.6-27b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Pengenalan Model

Qwen: Qwen3.6 27B

Qwen3.6 27B is a dense 27-billion-parameter multimodal language model from Alibaba’s Qwen Team. Released in April 2026, it supports text, image, and video inputs, combines strong language and visual reasoning, and is optimized for agentic coding, repository-level reasoning, document understanding, and tool-use workflows.

Why It Looks Great

Dense 27B architecture for practical deployment and predictable inference behavior
Native multimodal support for text, image, and video understanding
262K-token context window for long prompts, large codebases, documents, and multi-turn workflows
Up to 80K output tokens for extended reasoning, coding, and structured generation
Strong agentic coding performance at a deployable open-weight scale
Supports both thinking and non-thinking modes for flexible latency and reasoning trade-offs
Function calling and tool-use support for agentic application workflows
Structured output support for JSON responses and schema-constrained generation

Key Features

Parameters: 27B
Architecture: Dense
Context Window: 262,144 tokens
Max Input: 180,224 tokens
Max Output: 81,920 tokens
Input: Text, Image, Video
Output: Text
Vision: Supported
Function Calling: Supported
Structured Outputs: Supported
Thinking Mode: Supported
Audio Input: Not listed
Image Generation: Not listed
Supported Parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

Specifications

Specification	Value
Provider	alibaba
Model Type	Chat Completions model
Architecture	Dense 27B multimodal model
Modalities	text+image+video->text
Context Window	262,144 tokens
Max Input	180,224 tokens
Max Output	81,920 tokens
Input	Text, Image, Video
Output	Text
Vision	Supported
Function Calling	Supported
Structured Outputs	Supported
Release	April 2026

Pricing

Token Type	Cost
Input	$0.32 per million tokens
Output	$3.20 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/qwen3.6-27b

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/qwen3.6-27b",
    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/qwen3.6-27b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: qwen/qwen3.6-27b
Provider: alibaba
Best suited for agentic coding, repository-level reasoning, multimodal reasoning, document understanding, and structured output workflows

Qwen3.6 27b API

qwen/qwen3.6-27b

Qwen3.6 27B is a dense 27-billion-parameter multimodal language model from Alibaba’s Qwen Team, released in April 2026. It supports text, image, and video inputs with a 262K-token context window and up to 80K output tokens. Designed for agentic coding, repository-level reasoning, multimodal reasoning, document understanding, and tool-use workflows, it supports both thinking and non-thinking modes while remaining practical to deploy at a widely used 27B dense-model scale.

Pertanyaan Umum tentang Qwen3.6 27b

Berapa biaya Qwen3.6 27b melalui API?+

Harga di WaveSpeedAI: $0.54 per juta token input dan $3.24 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.

Berapa context window Qwen3.6 27b?+

Qwen3.6 27b mendukung hingga 262K token konteks dengan hingga 82K token output per permintaan.

Apakah Qwen3.6 27b kompatibel dengan OpenAI?+

Ya. WaveSpeedAI menyediakan Qwen3.6 27b melalui endpoint yang kompatibel dengan OpenAI di https://llm.wavespeed.ai/v1. Arahkan OpenAI SDK resmi ke base URL ini dengan API key WaveSpeedAI Anda — tanpa perubahan kode lainnya.

Bagaimana memulai dengan Qwen3.6 27b?+

Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id seperti ditampilkan di atas. Akun baru menerima kredit gratis untuk menguji Qwen3.6 27b.

Harga

Coba model