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Model details
Nova Pro (US)
Amazon Nova Pro is a proprietary foundation model from Amazon released in December 2024, designed as a general-purpose multimodal AI for tasks such as text generation, image understanding, and analytical reasoning. Positioned in Amazon's Nova family as the mid-tier "Pro" offering, it targets balanced intelligence and throughput for production applications rather than maximum reasoning depth. An independent analysis page notes that Nova Pro is now considered superseded by Amazon's newer Nova 2.0 Pro Preview, which Amazon introduced for teams seeking a more capable successor. Even so, Nova Pro remains a usable option for workloads where its blend of breadth and efficiency is sufficient and where budgets favor a well-priced non-reasoning model.
In practice, Nova Pro is best suited for mainstream enterprise scenarios including document and visual content interpretation, structured summarization, and grounded question answering, where its multimodal input handling can be paired with straightforward tool calling and configurable generation controls. Independent benchmarking notes that Nova Pro is among the less intelligent models in its price bracket, but is well priced relative to comparable non-reasoning alternatives, making it a pragmatic choice when cost efficiency outweighs top-tier reasoning. Buyers evaluating long-term roadmaps should weigh the recent latency-optimized inference profile Amazon introduced on Bedrock and the availability of a newer Pro-tier replacement when planning deployment timelines.
Quick Info
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- Amazon Bedrock
- Model key
- us.amazon.nova-pro-v1:0
- Release date
- Dec 3, 2024
- Last updated
- Dec 3, 2024
- Knowledge cutoff
- 2024-10
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.80
- Output token cost
- $3.20
Limits
- Output tokens
- 10,000 tokens
- Context window
- 300,000 tokens
Transparent token rates
Compare Nova Pro (US) pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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