Amazon: Nova Lite 1.0
Amazon Nova Lite 1.0 is an ultra-affordable multimodal model with a large 300K context window and vision support, but its benchmark scores are among the lowest in the database. Best suited to high-volume, low-complexity tasks where cost is the primary concern.
Assessment date: March 12, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
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.
Capabilities
Architecture
| Modality | Text + Image → Text |
| Tokenizer | Nova |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Evaluations
Benchmark data from Artificial Analysis and Hugging Face
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.06 | $0.000060 |
| Output | $0.24 | $0.000240 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
