--- title: Amazon: Nova 2 Lite API | Text Generation | ModelsLab description: Fast, cost-effective LLM for everyday workloads: processes text/images/videos, 1M-token context, adjustable reasoning (low/medium/high), web grounding. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/amazon/amazon-nova-2-lite-v1/api.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/amazon/amazon-nova-2-lite-v1/api.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T10:34:22.538418Z --- Amazon: Nova 2 Lite --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/amazon-nova-2-lite-v1/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/amazon/amazon-nova-2-lite-v1.md) amazon-nova-2-lite-v1 amazon Closed Source Model $1.400000 / call Amazon: Nova 2 Lite --- 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 ### Amazon: Nova 2 Lite amazon amazon-nova-2-lite-v1 Copy model ID PricingInput $0.30 / 1M tokens Output $2.50 / 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/open_router/openai-gpt-5.4-nano)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-5.4 Nano Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.4-nano) [QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-30b-a3b-thinking-2507)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Qwen: Qwen3 30B A3B Thinking 2507 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-30b-a3b-thinking-2507) [L3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Llama 3.1 Nemotron 70B Instruct HF Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF) [TU](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/thedrummer-unslopnemo-12b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [TheDrummer: UnslopNemo 12B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/thedrummer-unslopnemo-12b) [BE](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/baidu-ernie-4.5-300b-a47b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Baidu: ERNIE 4.5 300B A47B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/baidu-ernie-4.5-300b-a47b) [AN](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/amazon-nova-premier-v1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Amazon: Nova Premier 1.0 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/amazon-nova-premier-v1) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.2-chat)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-5.2 Chat Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.2-chat) [CC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/cohere-command-r7b-12-2024)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Cohere: Command R7B (12-2024) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/cohere-command-r7b-12-2024) [T2](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/scb10x/scb10x-scb10x-llama3-1-typhoon2-70b-instruct)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/scb10x) [Typhoon 2 70B Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/scb10x/scb10x-scb10x-llama3-1-typhoon2-70b-instruct) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/openai-gpt-oss-20b)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [OpenAI GPT-OSS 20B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/openai-gpt-oss-20b) [GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-3-27b-it)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Google: Gemma 3 27B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-3-27b-it) [![GPT 5.2](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/2bdd00f4-1692-49d8-a562-72cb1753d0ff.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5.2)[Open Ai](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai) [GPT 5.2 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5.2) [L3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta) [Llama 3.1 Nemotron 70B Instruct HF Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF) [AA](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/aion-labs-aion-1.0-mini)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [AionLabs: Aion-1.0-Mini Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/aion-labs-aion-1.0-mini) [MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/MiniMaxAI-MiniMax-M2.7)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [MiniMax M2.7 FP4 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/MiniMaxAI-MiniMax-M2.7) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-audio-mini)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT Audio Mini Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-audio-mini) [L4](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta) [Llama 4 Maverick Instruct (17Bx128E) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Llama-4-Maverick-17B-128E-Instruct-FP8) [QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-32b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Qwen: Qwen3 32B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-32b) About Amazon: Nova 2 Lite --- Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing... ### Technical Specifications Model IDamazon-nova-2-lite-v1CategoryLLM ModelsTaskText GenerationPrice$1.400000 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 Amazon: Nova 2 Lite 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": "amazon-nova-2-lite-v1", "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/amazon/amazon-nova-2-lite-v1/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Amazon: Nova 2 Lite API costs $1.400000 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 Amazon: Nova 2 Lite](https://modelslab-frontend-v2-927501783998.us-east4.run.app/amazon-nova-2-lite) [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Amazon](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) Amazon: Nova 2 Lite FAQ --- ### What is Amazon: Nova 2 Lite? Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing... ### How do I use the Amazon: Nova 2 Lite API? You can integrate Amazon: Nova 2 Lite into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "amazon-nova-2-lite-v1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Amazon: Nova 2 Lite cost? Amazon: Nova 2 Lite costs $1.400000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Amazon: Nova 2 Lite model ID? The model ID for Amazon: Nova 2 Lite is "amazon-nova-2-lite-v1". Use this ID in your API requests to specify this model. ### Does Amazon: Nova 2 Lite have a free tier? Yes, ModelsLab offers a free tier that lets you try Amazon: Nova 2 Lite 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*