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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
Source: litellm
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Amazon Nova Pro is a higher-capability multimodal model for advanced reasoning and visual understanding on Bedrock.
amazon.nova-pro-v1:0 is a Multimodal model from AWS Bedrock (US). HotON.ai tracks it at $0.80 per 1M input tokens and $3.20 per 1M output tokens, with a 300K-token context window. Its composite efficiency score is 89/100 at an estimated $0.003 per successful task.
amazon.nova-pro-v1:0 is tracked at $0.80 per 1M input tokens and $3.20 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $2.60 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
amazon.nova-pro-v1:0 supports up to a 300K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, amazon.nova-pro-v1:0 is cheaper than 35% of models on input price and ranks #248 of 535 by overall efficiency.
Yes — grok-4-fast is a lower-cost option at $0.50 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 — amazon.nova-pro-v1:0 (AWS Bedrock): $0.80/1M input, $3.20/1M output. https://hoton.ai/en/models/aws-bedrock-amazon-nova-pro-v1-0Pricing 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.