Nova Lite 1.0

Amazon chattool_usevision Long

API ID: amazon/nova-lite-v1

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Input Price
$0.06
/1M tokens
Output Price
$0.24
/1M tokens

About 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 can handle real-time customer interactions, document analysis, and visual question-answering tasks with high accuracy. With an input context of 300K tokens, it can analyze multiple images or up to 30 minutes of video in a single input.

💰
Price Ranking
#667 lowest price among 1240 Chat models

Model Specifications

Context Length
300k
Max Output
5k
Release Date
2024-12-05
Capabilities
chat tool_use vision
Input Modalities
textimage
Output Modalities
text

Best For

  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.10
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$3.06
/month
1000 tickets/day, ~800 tokens each
Calculate Your Custom Usage

Amazon Model Lineup

Compare all models from Amazon to find the best fit

Model Input Output Context Capabilities
Nova Lite 1.0 Current $0.06 $0.24 300k chat tool_use vision
Nova Micro 1.0 $0.04 $0.14 128k chat tool_use
Nova 2 Lite $0.30 $2.50 1.0M chat reasoning tool_use
Nova Pro 1.0 $0.80 $3.20 300k chat tool_use vision
Nova Premier 1.0 $2.50 $12.50 1.0M chat tool_use vision
View All Amazon Models →

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💡 Cheaper Alternatives

Same Brand (Amazon)

Nova Micro 1.0
$0.04 $0.14 128k

Cross Brand

GTE-Base Other
$0.0050 Free 512
E5-Base-v2 Other
$0.0050 Free 512
paraphrase-MiniLM-L6-v2 Other
$0.0050 Free 512

🚀 Quick Start

Get started with Nova Lite 1.0 API

OpenAI-compatible SDK 
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="amazon/nova-lite-v1",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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