--- title: Qwen: Qwen3.5-Flash — Fast LLM | ModelsLab description: Access Qwen: Qwen3.5-Flash API for 1M context, hybrid MoE attention, and vision tasks at low cost. Generate intelligent responses now. url: https://modelslab.com/qwen-qwen35-flash canonical: https://modelslab.com/qwen-qwen35-flash type: website component: Seo/ModelPage generated_at: 2026-04-15T03:42:37.127774Z --- Available now on ModelsLab · Language Model Qwen: Qwen3.5-Flash Flash Reasoning, Million Tokens --- [Try Qwen: Qwen3.5-Flash](/models/open_router/qwen-qwen3.5-flash-02-23) [API Documentation](https://docs.modelslab.com) Run Qwen3.5-Flash Efficiently --- 1M Context ### Hybrid Attention Scales Gated DeltaNet plus MoE handles 1M tokens with linear compute via 3:1 linear-to-full ratio. MoE Architecture ### Sparse Experts Accelerate 3B active params in Qwen: Qwen3.5-Flash beat larger predecessors on reasoning benchmarks. Vision Native ### Multimodal Flash Tasks Processes text, images, video with early fusion for document parsing and UI navigation. Examples See what Qwen: Qwen3.5-Flash can create --- Copy any prompt below and try it yourself in the [playground](/models/open_router/qwen-qwen3.5-flash-02-23). Code Review “Review this Python function for efficiency and suggest optimizations: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2)” JSON Schema “Generate a JSON schema for a user profile with fields: name (string), age (integer 0-120), email (string format), preferences (array of strings). Include validation rules.” SQL Query “Write an optimized SQL query to find top 10 customers by total spend from orders table joined with customers, grouped by customer\_id, last 12 months.” API Design “Design REST API endpoints for task management app: create task, list tasks, update task status, delete task. Specify HTTP methods, paths, request/response JSON.” For Developers A few lines of code. Flash inference. One call. --- ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed. - **Serverless:** scales to zero, scales to millions - **Pay per token,** no minimums - **Python and JavaScript SDKs,** plus REST API [API Documentation ](https://docs.modelslab.com) PythonJavaScriptcURL Copy ```

import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

``` FAQ Common questions about Qwen: Qwen3.5-Flash --- [Read the docs ](https://docs.modelslab.com) ### What is Qwen: Qwen3.5-Flash API? ### How does qwen qwen3 5 flash scale context? ### Qwen: Qwen3.5-Flash model vs predecessors? ### Pricing for Qwen: Qwen3.5-Flash alternative? ### qwen qwen3 5 flash api integration? ### Qwen: Qwen3.5-Flash LLM benchmarks? Ready to create? --- Start generating with Qwen: Qwen3.5-Flash on ModelsLab. [Try Qwen: Qwen3.5-Flash](/models/open_router/qwen-qwen3.5-flash-02-23) [API Documentation](https://docs.modelslab.com) --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-04-15*