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Model details

Nova Pro 1.0

Amazon Nova Pro 1.0 is positioned as a multimodal model from Amazon that aims to balance accuracy, speed, and cost across a wide range of practical tasks. As described in the provider copy available through the OpenRouter listing, it demonstrates strong capabilities in combining visual and textual information, with particular strength in areas like visual question answering on the TextVQA benchmark and video understanding on VATEX, where it is reported to achieve state-of-the-art performance as of December 2024. It is also highlighted for handling financial documents, making it a reasonable choice for enterprise workflows that need to interpret charts, tables, and mixed media alongside natural language prompts.

Beyond its benchmark positioning, Nova Pro 1.0 is practical for builders who need a generous working memory for long documents and multi-turn conversations, while keeping response lengths bounded for downstream applications. Image and text can be fed in together to ground questions in visual content, though video input is currently noted as unsupported. The model fits teams that want a single multimodal endpoint for document understanding, visual reasoning, and tool-augmented assistants, and it integrates cleanly with OpenRouter's routing modes so callers can prioritize balanced throughput, low latency, or higher tool-calling accuracy depending on the workload.

OpenRouteramazon/nova-pro-v1nova-pro

Quick Info

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Provider
OpenRouter
Model key
amazon/nova-pro-v1
Release date
Dec 5, 2024
Last updated
Dec 5, 2024
Knowledge cutoff
2024-10-31
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.80
Output token cost
$3.20

Limits

Output tokens
5,120 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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Latest news about Nova Pro 1.0

OpenRouter

CoverageBenchmark

Nova Pro 1.0 ranks on multiple third-party benchmarks covering agentic, terminal, and economic-task evaluations, with pricing reported at $0.80 per million input tokens and $3.20 per million output tokens. On the multimodal web-navigation benchmark MM-Mind2Web (2,000 open-ended tasks across 137 websites and 31 domains) The benchmark page compares Nova Pro 1.0 against contemporaneous models including Amazon Fable 5.1, Claude Opus 5, Fable 5, GPT-5.6 Sol, Kimi K3, Qwen3.8 Flash, and Qwen3.8 2.4T-A95B. Fable 5 leads Terminal-Bench Hard at 62.9% (a 56.8 percentage-point gap over Nova Pro 1.0), while Opus 5 leads GDPval-AA at 1861 Elo. Th

OpenRouter

CoverageBenchmark

An independent reproducible OCR benchmark evaluates Amazon: Nova Pro 1.0 on the OpenRouter provider offering (openrouter-amazon-nova-pro-v1), scoring 97.7% average character LCS similarity across 11 documents with an average latency of 2.4 seconds. The benchmark was measured on 2026-08-22 using corpus ocr-shared-11-nor The page publishes the exact input image, ground-truth text, and model transcript for each test document, and recomputes scores from that transcript when rendered rather than copying from a database field. The corpus spans synthetic retail receipts and synthetic handwriting samples designed to stress retail-style dense

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