---
title: Amazon: Nova Lite 1.0 API | Text Generation | ModelsLab
description: Build with Amazon: Nova Lite 1.0 API by Amazon. Text generation, chat, code, and reasoning. Pay-per-use. Free tier.
url: https://modelslab.com/models/amazon/amazon-nova-lite-v1/api.md
canonical: https://modelslab.com/models/amazon/amazon-nova-lite-v1/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-15T02:01:40.934029Z
---

Amazon: Nova Lite 1.0
---

 [LLMs.txt](https://modelslab.com/models/open_router/amazon-nova-lite-v1/llms.txt) [.md](https://modelslab.com/models/amazon/amazon-nova-lite-v1.md)

amazon-nova-lite-v1 amazon Closed Source Model $0.150000 / call

Amazon: Nova Lite 1.0
---

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 Lite 1.0

amazon amazon-nova-lite-v1

Copy model ID

PricingInput $0.06 / 1M tokens

Output $0.24 / 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)

[NL](https://modelslab.com/models/open_router/nvidia-llama-3.3-nemotron-super-49b-v1.5)[Open Router](https://modelslab.com/models/open_router)

 [NVIDIA: Llama 3.3 Nemotron Super 49B V1.5

Closed Source Model](https://modelslab.com/models/open_router/nvidia-llama-3.3-nemotron-super-49b-v1.5)

[L3](https://modelslab.com/models/together_ai/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF)[Together AI](https://modelslab.com/models/together_ai)

 [Llama 3.1 Nemotron 70B Instruct HF

Closed Source Model](https://modelslab.com/models/together_ai/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF)

[XG](https://modelslab.com/models/open_router/x-ai-grok-4.20-multi-agent)[Open Router](https://modelslab.com/models/open_router)

 [xAI: Grok 4.20 Multi-Agent

Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-4.20-multi-agent)

[MD](https://modelslab.com/models/open_router/mistralai-devstral-medium)[Open Router](https://modelslab.com/models/open_router)

 [Mistral: Devstral Medium

Closed Source Model](https://modelslab.com/models/open_router/mistralai-devstral-medium)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-coder-flash)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 Coder Flash

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-coder-flash)

[OG](https://modelslab.com/models/open_router/openai-gpt-4o-mini)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-4o-mini

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-mini)

[L4](https://modelslab.com/models/together_ai/meta-llama-Llama-4-Scout-17B-16E-Instruct)[Together AI](https://modelslab.com/models/together_ai)

 [Llama 4 Scout Instruct (17Bx16E)

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Llama-4-Scout-17B-16E-Instruct)

[NH](https://modelslab.com/models/open_router/nousresearch-hermes-3-llama-3.1-405b-free)[Open Router](https://modelslab.com/models/open_router)

 [Nous: Hermes 3 405B Instruct (free)

Closed Source Model](https://modelslab.com/models/open_router/nousresearch-hermes-3-llama-3.1-405b-free)

[CC](https://modelslab.com/models/open_router/cohere-command-r7b-12-2024)[Open Router](https://modelslab.com/models/open_router)

 [Cohere: Command R7B (12-2024)

Closed Source Model](https://modelslab.com/models/open_router/cohere-command-r7b-12-2024)

[NH](https://modelslab.com/models/open_router/nousresearch-hermes-4-70b)[Open Router](https://modelslab.com/models/open_router)

 [Nous: Hermes 4 70B

Closed Source Model](https://modelslab.com/models/open_router/nousresearch-hermes-4-70b)

[GO](https://modelslab.com/models/together_ai/zai-org-GLM-OCR)[Together AI](https://modelslab.com/models/together_ai)

 [GLM OCR

Closed Source Model](https://modelslab.com/models/together_ai/zai-org-GLM-OCR)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-next-80b-a3b-thinking)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 Next 80B A3B Thinking

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-next-80b-a3b-thinking)

[OG](https://modelslab.com/models/open_router/openai-gpt-oss-safeguard-20b)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: gpt-oss-safeguard-20b

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-oss-safeguard-20b)

[DD](https://modelslab.com/models/open_router/deepseek-deepseek-chat-v3.1)[Open Router](https://modelslab.com/models/open_router)

 [DeepSeek: DeepSeek V3.1

Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-chat-v3.1)

[![Mixtral-8x7B Instruct v0.1](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/67dabe3d-a00a-4cc4-a158-136c8f189137.png)](https://modelslab.com/models/together_ai/mistralai-Mixtral-8x7B-Instruct-v0.1)[Together AI](https://modelslab.com/models/together_ai)

 [Mixtral-8x7B Instruct v0.1

Closed Source Model](https://modelslab.com/models/together_ai/mistralai-Mixtral-8x7B-Instruct-v0.1)

[AC](https://modelslab.com/models/open_router/anthropic-claude-sonnet-4)[Open Router](https://modelslab.com/models/open_router)

 [Anthropic: Claude Sonnet 4

Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-sonnet-4)

[CV](https://modelslab.com/models/together_ai/deepcogito-cogito-v2-1-671b)[Together AI](https://modelslab.com/models/together_ai)

 [Cogito v2.1 671B

Closed Source Model](https://modelslab.com/models/together_ai/deepcogito-cogito-v2-1-671b)

[Q7](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-7B-Instruct-Turbo)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen2.5 7B Instruct Turbo

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-7B-Instruct-Turbo)

About Amazon: Nova Lite 1.0
---

Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...

### Technical Specifications

Model IDamazon-nova-lite-v1CategoryLLM ModelsTaskText GenerationPrice$0.150000 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 Lite 1.0 into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "amazon-nova-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}")</code>
```

View the [full API documentation](https://modelslab.com/models/amazon/amazon-nova-lite-v1/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Amazon: Nova Lite 1.0 API costs $0.150000 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 Amazon](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

Amazon: Nova Lite 1.0 FAQ
---

### What is Amazon: Nova Lite 1.0?

Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...

### How do I use the Amazon: Nova Lite 1.0 API?

You can integrate Amazon: Nova Lite 1.0 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "amazon-nova-lite-v1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Amazon: Nova Lite 1.0 cost?

Amazon: Nova Lite 1.0 costs $0.150000 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 Lite 1.0 model ID?

The model ID for Amazon: Nova Lite 1.0 is "amazon-nova-lite-v1". Use this ID in your API requests to specify this model.

### Does Amazon: Nova Lite 1.0 have a free tier?

Yes, ModelsLab offers a free tier that lets you try Amazon: Nova Lite 1.0 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 - 2026-04-15*