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...
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Among the 392 chat models on CoreAI, Amazon: Nova Lite 1.0 ranks #155 by context window — 300K tokens, roughly 225,000 words or 450 pages of text in a single conversation. On price, it is the #26 cheapest of 128 budget-tier models by input cost. It joined the catalog on 2024-12-05. It accepts image input alongside text.
Every model in this table is available on CoreAI — open the web app and run the same prompt through Amazon: Nova Lite 1.0 and Amazon: Nova Micro 1.0 side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00018 on Amazon: Nova Lite 1.0's raw per-token rates; a heavy session with a 50K-token document costs about $0.004. On CoreAI you don't juggle these numbers — one subscription covers Amazon: Nova Lite 1.0 and 300+ other models under a plan usage limit, with no API keys. See plans.
Amazon: Nova Lite 1.0 handles 300K tokens of context — roughly 225,000 words, or about 450 pages of text in one conversation.
Amazon: Nova Lite 1.0's underlying rates are $0.06 per 1M input tokens and $0.24 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
Yes — Amazon: Nova Lite 1.0 accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
No — Amazon: Nova Lite 1.0 answers directly without an extended reasoning phase, which usually means faster responses.
Open the CoreAI web app or the iOS/Android app, pick Amazon: Nova Lite 1.0 in the model selector, and chat — no API key, no per-token billing. One subscription covers Amazon: Nova Lite 1.0 and 300+ other models.
The closest alternatives on CoreAI are Amazon: Nova Micro 1.0, Meta: Llama 4 Scout, inclusionAI: Ling-2.6-flash — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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