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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: amazon_reference_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing...
nova-2-lite-v1 is a Multimodal model from Amazon (US). HotON.ai tracks it at $0.30 per 1M input tokens and $2.50 per 1M output tokens, with a 1000K-token context window. Its composite efficiency score is 95/100 at an estimated $0.002 per successful task.
nova-2-lite-v1 is tracked at $0.30 per 1M input tokens and $2.50 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.95 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
nova-2-lite-v1 supports up to a 1000K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, nova-2-lite-v1 is cheaper than 51% of models on input price and ranks #37 of 535 by overall efficiency.
Yes — gemini-3.1-flash-lite-preview is a lower-cost option at $1.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — nova-2-lite-v1 (Amazon): $0.30/1M input, $2.50/1M output, as of 2026-05-11. https://hoton.ai/en/models/amazon-nova-2-lite-v1Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.