Qwen: Qwen3.6 35B A3B

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35B total parameters and 3B active parameters per token. It uses a hybrid sparse Mixture-of-Experts architecture combining Gated DeltaNet linear attention with standard attention layers, giving it strong efficiency for coding, agentic workflows, long-context reasoning, and multimodal understanding.

Why It Looks Great

• Open-weight 35B sparse MoE model with only 3B active parameters per token
• Hybrid architecture combining Gated DeltaNet linear attention, standard attention, and MoE feed-forward layers
• Native multimodal support for text, image, and video understanding
• 262K-token context window for long prompts, large documents, codebases, and multi-turn workflows
• Efficient active-parameter design for cost-sensitive production inference
• 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

• Total Parameters: 35B
• Active Parameters: 3B per token
• Architecture: Sparse Mixture-of-Experts
• Context Window: 262,144 tokens
• Max Input: Not listed
• Max Output: Not listed
• 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

Pricing

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/qwen3.6-35b-a3b

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/qwen3.6-35b-a3b",
    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/qwen3.6-35b-a3b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

• Model: qwen/qwen3.6-35b-a3b
• Provider: alibaba
• Best suited for efficient multimodal reasoning, coding, agentic workflows, long-context document understanding, and structured extraction