Nova Pro is Amazon's balanced multimodal foundation model, offering a strong combination of accuracy, speed, and cost across text, images, and video. It processes text, image, and video inputs with a 300K token context window, enabling developers to handle complex, multi-turn interactions, retrieval-augmented generation (RAG) workflows, and agentic applications. Key capabilities include document understanding for field extraction and data localization, visual inspection and defect detection workflows, video analysis with temporal reasoning, and reliable function calling for tool use and automation. Nova Pro achieves high accuracy on vision tasks while maintaining practical performance for language understanding and generation. The model supports prompt caching and fine-tuning for customization, letting developers adapt it for industry-specific applications and terminology. Like the rest of the Nova family, it understands and generates content in over 200 languages, with optimization for 15 including English, German, Spanish, French, Italian, Japanese, Korean, Arabic, Simplified Chinese, Russian, Hindi, Portuguese, Dutch, Turkish, and Hebrew. Launched in December 2024, Nova Pro positions itself above Lite for the most demanding multimodal work, making it well suited to enterprises that need strong vision and language performance without the extended thinking of the newer Nova 2 generation.
Amazon Nova Pro runs on 2 different routes through the qynio gateway. Compare residency, zero retention, and training posture at a glance β full data-handling detail per route below.
Each route hosting Amazon Nova Pro has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Call Amazon Nova Pro through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Set it up with your agent
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.