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Model details

Nova Lite (US)

Nova Lite is positioned as a cost-oriented model in the broader Nova family, aimed at workloads that benefit from a very large context window rather than the deepest reasoning capability in its tier. The cataloged entry indicates support for text, image, and PDF inputs alongside text output, with practical features such as attachments, tool calling, temperature control, and structured output, making it suitable for document-heavy tasks, agentic pipelines, and integration scenarios where long-context recall matters more than frontier-level generation quality. Its 300,000-token context window paired with a 10,000-token output ceiling gives practitioners substantial room for multi-document summarization, retrieval-augmented workflows, and extended conversational memory without aggressive truncation.

From a practical standpoint, the listing reflects a budget-friendly price point relative to larger Nova variants, with token rates that have remained stable according to independent tracker data, suggesting a mature, settled pricing posture for production planning. The weights remain closed, so deployment is necessarily API-based rather than self-hosted, and practitioners should expect to interact with the model through managed endpoints rather than local inference. For teams weighing Nova Lite against heavier alternatives, the natural fit is high-volume, context-sensitive applications—such as long-document analysis, structured extraction pipelines, and tool-mediated assistants—where throughput and cost per token dominate over maximum reasoning depth.

Eden AIamazon/amazon.nova-lite-v1:0@usnova-lite

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Provider
Eden AI
Model key
amazon/amazon.nova-lite-v1:0@us
Release date
Dec 3, 2024
Last updated
Dec 3, 2024
Knowledge cutoff
2024-10
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.06
Output token cost
$0.24

Limits

Output tokens
10,000 tokens
Context window
300,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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