--- title: Qwen 2.5 14B Instruct API | Text Generation | ModelsLab description: Build with Qwen 2.5 14B Instruct API by Qwen. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/Qwen/Qwen-Qwen2.5-14B-Instruct.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/Qwen/Qwen-Qwen2.5-14B-Instruct.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T09:44:35.865014Z --- Qwen 2.5 14B Instruct --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-14B-Instruct/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/Qwen/Qwen-Qwen2.5-14B-Instruct.md) Qwen-Qwen2.5-14B-Instruct Qwen Closed Source Model $0.800000 / call Qwen 2.5 14B Instruct --- 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 2.5 14B Instruct Qwen Qwen-Qwen2.5-14B-Instruct Copy model ID PricingInput $0.80 / 1M tokens Output $0.80 / 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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/openai-gpt-oss-120b)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [OpenAI GPT-OSS 120B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/openai-gpt-oss-120b) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-oss-120b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: gpt-oss-120b Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-oss-120b) [NH](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nousresearch-hermes-4-70b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Nous: Hermes 4 70B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nousresearch-hermes-4-70b) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.3-70b-instruct-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Meta: Llama 3.3 70B Instruct (free) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.3-70b-instruct-free) [![Gemini 2.5 Flash Image Preview ](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/97c6f065-57f9-45b0-a190-08e5f97f70a8.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/gemini-2.5-flash-image-preview)[Google](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google) [Gemini 2.5 Flash Image Preview Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/gemini-2.5-flash-image-preview) [AA](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/aion-labs-aion-2.0)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [AionLabs: Aion-2.0 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/aion-labs-aion-2.0) [QV](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-VL-32B-Instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen3-VL-32B-Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-VL-32B-Instruct) [MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m2.1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [MiniMax: MiniMax M2.1 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m2.1) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Meta-Llama-3-70B-Instruct-Turbo)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta) [Meta Llama 3 70B Instruct Turbo Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Meta-Llama-3-70B-Instruct-Turbo) [MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-small-3.1-24b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Mistral: Mistral Small 3.1 24B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-small-3.1-24b-instruct) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-3.3-70B-Instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [meta-llama/Llama-3.3-70B-Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-3.3-70B-Instruct) [Q2](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2-1.5B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen 2 (1.5B) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2-1.5B) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4-0314)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-4 (older v0314) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4-0314) [MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-small-2603)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Mistral: Mistral Small 4 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-small-2603) [QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen-plus-2025-07-28-thinking)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Qwen: Qwen Plus 0728 (thinking) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen-plus-2025-07-28-thinking) [QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-next-80b-a3b-instruct-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Qwen: Qwen3 Next 80B A3B Instruct (free) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-next-80b-a3b-instruct-free) [TD](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/alibaba-tongyi-deepresearch-30b-a3b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Tongyi DeepResearch 30B A3B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/alibaba-tongyi-deepresearch-30b-a3b) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.1-70b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Meta: Llama 3.1 70B Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.1-70b-instruct) About Qwen 2.5 14B Instruct --- Qwen 2.5 14B Instruct is a text generation AI model by Qwen available on ModelsLab. Access Qwen 2.5 14B Instruct through our API with pay-per-use pricing and no minimum commitments. ### Technical Specifications Model IDQwen-Qwen2.5-14B-InstructCategoryLLM ModelsTaskText GenerationPrice$0.800000 per million tokensAddedApril 4, 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 2.5 14B Instruct 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-Qwen2.5-14B-Instruct", "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/Qwen/Qwen-Qwen2.5-14B-Instruct/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Qwen 2.5 14B Instruct API costs $0.800000 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 [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Qwen](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 2.5 14B Instruct FAQ --- ### What is Qwen 2.5 14B Instruct? Qwen 2.5 14B Instruct is a text generation AI model by Qwen available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments. ### How do I use the Qwen 2.5 14B Instruct API? You can integrate Qwen 2.5 14B Instruct into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "Qwen-Qwen2.5-14B-Instruct" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Qwen 2.5 14B Instruct cost? Qwen 2.5 14B Instruct costs $0.800000 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 2.5 14B Instruct model ID? The model ID for Qwen 2.5 14B Instruct is "Qwen-Qwen2.5-14B-Instruct". Use this ID in your API requests to specify this model. ### Does Qwen 2.5 14B Instruct have a free tier? Yes, ModelsLab offers a free tier that lets you try Qwen 2.5 14B Instruct 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*