Amazon Nova Lite V1
Neural Network
Amazon Nova Lite V1 is Amazon's multimodal model for fast processing of text, images, and video via the Nova Lite API.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 300 000 tokens
- Max answer length
- 5 120 tokens
- Capabilities
- function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Amazon Nova Lite V1?
Amazon Nova Lite V1 is a model from Amazon's Nova family that accepts text, images, and video as input and responds with text. It focuses on processing speed and cost-efficiency, making it ideal for high-volume tasks requiring immediate responses. In BotHub, it is accessible without a VPN or foreign card: pay with a Russian card in rubles only for tokens actually used, with no subscription, and tokens do not expire. Over 250 other neural networks are available in one window for easy switching, and a unified OpenAI-compatible API allows you to integrate the model into your product and swap it for another without rewriting the integration. Chats are encrypted via AES-GCM, and companies have access to contracts, invoices, EDO, and an admin panel with limits. It is useful for analyzing screenshots and photos to get text descriptions, extracting the essence from meeting recordings and videos, processing large volumes of requests and documents, drafting emails and product descriptions, and maintaining an assistant in your product where cost per call is critical.Frequently asked questions about Amazon Nova Lite V1
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is an Amazon text model with a 300,000-token context: it analyzes long documents and correspondence, writes and edits text, helps with code, answers based on uploaded images, and calls external tools. Suitable for support, document analytics, and integration into services via API.
The single response limit is 5,120 tokens, which is enough for a detailed article, comprehensive instruction, or a large code fragment. If you need more volume, just ask it to continue or break the task into parts: the 300,000-token input context allows for this.
A separate reasoning mode is not noted in our data. However, you can get a step-by-step analysis using a standard prompt: ask the model to detail the logic, compare options, and only then provide a conclusion. For complex reasoning chains, reasoning models are also available in BotHub.
Yes, the model works with tools: you describe the functions, and it decides which one to call and with what arguments, returning structured JSON. This is convenient for agents, database search, and integrations. Everything is available via BotHub's unified OpenAI-compatible API.
According to our data, the model accepts text, images, and documents as input: you can ask it to describe an image, extract data from a screenshot or table, or analyze a contract. Audio and video support is not noted in our data, so for such tasks, it is better to check specialized models in the catalog.
Characteristics for individual languages are not specified in our data, so it is most reliable to test the model on your task. In BotHub, this is inexpensive: payment is based on actual token usage, and if the result is unsatisfactory, you can switch to another model in the same window without editing the integration.