--- title: Qwen: Qwen3.5 397B A17B API | Text Generation | ModelsLab description: Multimodal LLM with 397B total / 17B active params in Hybrid MoE architecture, 256K context, native text/image/video support, 8.6-19x faster decoding. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-qwen3.5-397b-a17b/api.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-qwen3.5-397b-a17b/api.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T09:44:37.227850Z --- Qwen: Qwen3.5 397B A17B --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-qwen3.5-397b-a17b/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-qwen3.5-397b-a17b.md) qwen-qwen3.5-397b-a17b alibaba\_cloud Closed Source Model $2.100000 / call Qwen: Qwen3.5 397B A17B --- Choose a prompt below to get started or type your own message Explain quantum computing in simple terms Write a Python function to sort a list Create a marketing email for a SaaS product Compare REST vs GraphQL APIs Send ### Qwen: Qwen3.5 397B A17B alibaba\_cloud qwen-qwen3.5-397b-a17b Copy model ID PricingInput $0.60 / 1M tokens Output $3.60 / 1M tokens API EndpointsOpenAI Compatible `https://modelslab.com/api/v7/llm/chat/completions`Endpoint Anthropic Compatible `https://modelslab.com/api/v7/llm/v1/messages`Messages `https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens `https://modelslab.com/api/v7/llm/v1/models`Models Use with Claude Code cURL Example ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses. 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Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-guard-3-8b) About Qwen: Qwen3.5 397B A17B --- The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. ### Technical Specifications Model IDqwen-qwen3.5-397b-a17bCategoryLLM ModelsTaskText GenerationPrice$2.100000 per million tokensAddedFebruary 20, 2026 ### Key Features - Chat completion and multi-turn conversation API - Streaming response with token-by-token output - Function calling and tool use support - System prompts and role-based messaging - JSON mode and structured output ### Quick Start Integrate Qwen: Qwen3.5 397B A17B into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "qwen-qwen3.5-397b-a17b", "messages": [ { "role": "user", "content": "Hello!" } ], "max_tokens": 1000, "key": "YOUR_API_KEY" } try: response = requests.post(url, headers=headers, json=data) response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX) result = response.json() print("API Response:") print(json.dumps(result, indent=2)) except requests.exceptions.HTTPError as http_err: print(f"HTTP error occurred: {http_err} - {response.text}") except Exception as err: print(f"Other error occurred: {err}") ``` View the [full API documentation](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-qwen3.5-397b-a17b/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Qwen: Qwen3.5 397B A17B API costs $2.100000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) ### Use Cases - AI chatbots and virtual assistants - Code generation and developer tools - Content writing and copywriting automation - Data analysis, summarization, and extraction [Learn more about Qwen: Qwen3.5 397B A17B](https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen-qwen35-397b-a17b) [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Alibaba Cloud](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) Qwen: Qwen3.5 397B A17B FAQ --- ### What is Qwen: Qwen3.5 397B A17B? The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a ### How do I use the Qwen: Qwen3.5 397B A17B API? You can integrate Qwen: Qwen3.5 397B A17B into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "qwen-qwen3.5-397b-a17b" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Qwen: Qwen3.5 397B A17B cost? Qwen: Qwen3.5 397B A17B costs $2.100000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Qwen: Qwen3.5 397B A17B model ID? The model ID for Qwen: Qwen3.5 397B A17B is "qwen-qwen3.5-397b-a17b". Use this ID in your API requests to specify this model. ### Does Qwen: Qwen3.5 397B A17B have a free tier? Yes, ModelsLab offers a free tier that lets you try Qwen: Qwen3.5 397B A17B and other AI models. Sign up to get free API credits and start building immediately. --- *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 - 2026-05-13*