--- title: Qwen: Qwen3.7 Plus API | Text Generation | ModelsLab description: Build with Qwen: Qwen3.7 Plus API by Qwen. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/qwen/qwen-qwen3.7-plus.md canonical: https://modelslab.com/models/qwen/qwen-qwen3.7-plus.md type: product component: Playground/LLM/Index generated_at: 2026-06-03T19:32:37.629353Z --- Qwen: Qwen3.7 Plus --- [LLMs.txt](https://modelslab.com/models/open_router/qwen-qwen3.7-plus/llms.txt) [.md](https://modelslab.com/models/qwen/qwen-qwen3.7-plus.md) Qwen: Qwen3.7 Plus --- 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: Qwen3.7 Plus qwen qwen-qwen3.7-plus Copy model ID PricingInput $0.40 / 1M tokens Output $1.60 / 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. 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) [#### qwen/Qwen2.5 72B Instruct Turbo Qwen-Qwen2.5-72B-Instruct-Turbo From $1.20/M tokens](https://modelslab.com/models/qwen/Qwen-Qwen2.5-72B-Instruct-Turbo) [#### open\_router/NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 nvidia-llama-3.3-nemotron-super-49b-v1.5 From $0.25/M tokens](https://modelslab.com/models/open_router/nvidia-llama-3.3-nemotron-super-49b-v1.5) [#### open\_router/Meta: Llama 3 8B Instruct meta-llama-llama-3-8b-instruct From $0.04/M tokens](https://modelslab.com/models/open_router/meta-llama-llama-3-8b-instruct) [#### open\_router/OpenAI: gpt-oss-120b openai-gpt-oss-120b From $0.11/M tokens](https://modelslab.com/models/open_router/openai-gpt-oss-120b) [#### open\_router/Mistral: Mistral Medium 3.5 mistralai-mistral-medium-3-5 From $4.50/M tokens](https://modelslab.com/models/open_router/mistralai-mistral-medium-3-5) [#### open\_router/Anthropic: Claude Sonnet 4.5 anthropic-claude-sonnet-4.5 From $9.00/M tokens](https://modelslab.com/models/open_router/anthropic-claude-sonnet-4.5) [#### open\_router/Amazon: Nova 2 Lite amazon-nova-2-lite-v1 From $1.40/M tokens](https://modelslab.com/models/open_router/amazon-nova-2-lite-v1) [#### open\_router/Google Gemini Flash Latest google-gemini-flash-latest From $5.25/M tokens](https://modelslab.com/models/open_router/google-gemini-flash-latest) [#### open\_router/Mistral: Mistral Small 3.1 24B mistralai-mistral-small-3.1-24b-instruct From $0.45/M tokens](https://modelslab.com/models/open_router/mistralai-mistral-small-3.1-24b-instruct) [#### openai/OpenAI: GPT-5.4 openai-gpt-5.4 From $8.75/M tokens](https://modelslab.com/models/openai/openai-gpt-5.4) [#### open\_router/DeepSeek: DeepSeek V3.2 deepseek-deepseek-v3.2 From $0.29/M tokens](https://modelslab.com/models/open_router/deepseek-deepseek-v3.2) [#### open\_router/StepFun: Step 3.5 Flash stepfun-step-3.5-flash From $0.20/M tokens](https://modelslab.com/models/open_router/stepfun-step-3.5-flash) [#### open\_router/Google: Gemini 2.5 Pro google-gemini-2.5-pro From $5.63/M tokens](https://modelslab.com/models/open_router/google-gemini-2.5-pro) [#### open\_router/DeepSeek: DeepSeek V4 Flash deepseek-deepseek-v4-flash From $0.15/M tokens](https://modelslab.com/models/open_router/deepseek-deepseek-v4-flash) [#### meta/Meta Llama 3.1 70B Instruct Turbo meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo From $0.88/M tokens](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo) [#### qwen/Qwen2.5-VL (72B) Instruct Qwen-Qwen2.5-VL-72B-Instruct From $4.97/M tokens](https://modelslab.com/models/qwen/Qwen-Qwen2.5-VL-72B-Instruct) [#### open\_router/DeepSeek: R1 deepseek-deepseek-r1 From $1.60/M tokens](https://modelslab.com/models/open_router/deepseek-deepseek-r1) [#### open\_router/Anthropic: Claude Opus 4.8 anthropic-claude-opus-4.8 From $15.00/M tokens](https://modelslab.com/models/open_router/anthropic-claude-opus-4.8) Open Source Alternatives --- Explore open-source models that offer similar capabilities with full transparency and flexibility [View all open source models](https://modelslab.com/models?feature=llm&provider=open-source-models) [MU](https://modelslab.com/models/modelslab/uncensored-chat)[ModelsLab](https://modelslab.com/models/modelslab) [Modelslab: Uncensored Chat Open Source Model](https://modelslab.com/models/modelslab/uncensored-chat) About Qwen: Qwen3.7 Plus --- Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its... ### Technical Specifications Model IDqwen-qwen3.7-plus CategoryLLM Models TaskText Generation Price$1 per million tokens AddedJune 3, 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: Qwen3.7 Plus 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-qwen3.7-plus", "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}") ``` ### Pricing Qwen: Qwen3.7 Plus API costs $1.000000 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: Qwen3.7 Plus FAQ --- ### What is Qwen: Qwen3.7 Plus? Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its... ### How do I use the Qwen: Qwen3.7 Plus API? You can integrate Qwen: Qwen3.7 Plus into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "qwen-qwen3.7-plus" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Qwen: Qwen3.7 Plus cost? Qwen: Qwen3.7 Plus costs $1.000000 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: Qwen3.7 Plus model ID? The model ID for Qwen: Qwen3.7 Plus is "qwen-qwen3.7-plus". Use this ID in your API requests to specify this model. ### Does Qwen: Qwen3.7 Plus have a free tier? Yes, ModelsLab offers a free tier that lets you try Qwen: Qwen3.7 Plus 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 - 2026-06-04*