--- title: Qwen: Qwen3.6 27B API | Text Generation | ModelsLab description: Build with Qwen: Qwen3.6 27B API by Qwen. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/qwen/qwen-qwen3.6-27b.md canonical: https://modelslab.com/models/qwen/qwen-qwen3.6-27b.md type: product component: Playground/LLM/Index generated_at: 2026-04-29T21:07:43.253782Z --- Qwen: Qwen3.6 27B --- [LLMs.txt](https://modelslab.com/models/open_router/qwen-qwen3.6-27b/llms.txt) [.md](https://modelslab.com/models/qwen/qwen-qwen3.6-27b.md) qwen-qwen3.6-27b qwen Closed Source Model $1.787500 / call Qwen: Qwen3.6 27B --- 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: Qwen3.6 27B qwen qwen-qwen3.6-27b Copy model ID PricingInput $0.325 / 1M tokens Output $3.25 / 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. Temperature0.7 Max Tokens1000 Top P0.9 Frequency Penalty0 Presence Penalty0 Model Info Support Related Models --- Discover similar models you might be interested in [View all LLM Models](https://modelslab.com/models?feature=llmaster) [OG](https://modelslab.com/models/open_router/openai-gpt-4o-mini-search-preview)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4o-mini Search Preview Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-mini-search-preview) [ML](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo)[Together AI](https://modelslab.com/models/together_ai) [Meta Llama 3.1 8B Instruct Turbo Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo) [Q1](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-1.5B-Instruct)[Together AI](https://modelslab.com/models/together_ai) [Qwen2.5 1.5B Instruct Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-1.5B-Instruct) [AO](https://modelslab.com/models/open_router/allenai-olmo-3.1-32b-instruct)[Open Router](https://modelslab.com/models/open_router) [AllenAI: Olmo 3.1 32B Instruct Closed Source Model](https://modelslab.com/models/open_router/allenai-olmo-3.1-32b-instruct) [G4](https://modelslab.com/models/together_ai/google-gemma-4-E2B-it)[Together AI](https://modelslab.com/models/together_ai) [Gemma 4 E2B-it Closed Source Model](https://modelslab.com/models/together_ai/google-gemma-4-E2B-it) [OG](https://modelslab.com/models/open_router/openai-gpt-5.2-chat)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.2 Chat Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.2-chat) [OG](https://modelslab.com/models/open_router/openai-gpt-oss-120b)[Open Router](https://modelslab.com/models/open_router) [OpenAI: gpt-oss-120b Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-oss-120b) [OG](https://modelslab.com/models/open_router/openai-gpt-5.5-pro)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.5 Pro Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.5-pro) [Q7](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-72B-Instruct)[Together AI](https://modelslab.com/models/together_ai) [Qwen2.5 72B Instruct Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-72B-Instruct) [![GPT 5.1](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/fad83520-47a8-4059-b4b9-b32adf4d0be7.png)](https://modelslab.com/models/openai/gpt5.1)[Open Ai](https://modelslab.com/models/openai) [GPT 5.1 Closed Source Model](https://modelslab.com/models/openai/gpt5.1) [MM](https://modelslab.com/models/open_router/mistralai-mistral-medium-3)[Open Router](https://modelslab.com/models/open_router) [Mistral: Mistral Medium 3 Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-medium-3) [OG](https://modelslab.com/models/open_router/openai-gpt-4.1-mini)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4.1 Mini Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4.1-mini) [M(](https://modelslab.com/models/mistral_ai/mistralai-Mistral-7B-Instruct-v0.1)[ModelsLab](https://modelslab.com/models/mistral_ai) [Mistral (7B) Instruct Closed Source Model](https://modelslab.com/models/mistral_ai/mistralai-Mistral-7B-Instruct-v0.1) [Q1](https://modelslab.com/models/together_ai/Qwen-Qwen3-14B-Base)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 14B Base Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-14B-Base) [QV](https://modelslab.com/models/together_ai/Qwen-Qwen2-VL-72B-Instruct)[Together AI](https://modelslab.com/models/together_ai) [Qwen2-VL (72B) Instruct Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2-VL-72B-Instruct) [QQ](https://modelslab.com/models/open_router/qwen-qwen3.5-122b-a10b)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3.5-122B-A10B Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3.5-122b-a10b) [AC](https://modelslab.com/models/open_router/anthropic-claude-opus-latest)[Open Router](https://modelslab.com/models/open_router) [Anthropic: Claude Opus Latest Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-opus-latest) [XG](https://modelslab.com/models/open_router/x-ai-grok-3-mini)[Open Router](https://modelslab.com/models/open_router) [xAI: Grok 3 Mini Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-3-mini) About Qwen: Qwen3.6 27B --- Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs... ### Technical Specifications Model IDqwen-qwen3.6-27bCategoryLLM ModelsTaskText GenerationPrice$1.787500 per million tokensAddedApril 27, 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: Qwen3.6 27B into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/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-qwen3.6-27b", "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.com/models/qwen/qwen-qwen3.6-27b/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Qwen: Qwen3.6 27B API costs $1.787500 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) ### Use Cases - AI chatbots and virtual assistants - Code generation and developer tools - Content writing and copywriting automation - Data analysis, summarization, and extraction [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Qwen](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) Qwen: Qwen3.6 27B FAQ --- ### What is Qwen: Qwen3.6 27B? Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs... ### How do I use the Qwen: Qwen3.6 27B API? You can integrate Qwen: Qwen3.6 27B into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "qwen-qwen3.6-27b" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Qwen: Qwen3.6 27B cost? Qwen: Qwen3.6 27B costs $1.787500 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: Qwen3.6 27B model ID? The model ID for Qwen: Qwen3.6 27B is "qwen-qwen3.6-27b". Use this ID in your API requests to specify this model. ### Does Qwen: Qwen3.6 27B have a free tier? Yes, ModelsLab offers a free tier that lets you try Qwen: Qwen3.6 27B 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 - 2026-04-30*