nvidia/nemotron-3-ultra-550b-a55b

nvidia/nemotron-3-ultra-550b-a55b is a frontier-tier language model from RouterPlus. nvidia/nemotron-3-ultra-550b-a55b is an open-weights model, meaning the weights are publicly available for self-hosting, fine-tuning, and deployment on your own infrastructure — not just through RouterPlus's API. The Nemotron family is RouterPlus's model series for this capability tier.

nvidia/nemotron-3-ultra-550b-a55b is priced at $1/1M input tokens and $3/1M output tokens. Output tokens are 3× more expensive than input tokens — this ratio reflects the sequential nature of autoregressive generation, which requires a separate forward pass per output token versus parallel processing of all input tokens simultaneously. At a typical usage pattern of 1,000 input tokens and 500 output tokens per call, nvidia/nemotron-3-ultra-550b-a55b costs approximately $2.50 per 1,000 API calls. Prompt caching reduces repeated input tokens to $0.12/1M — a 88% discount that compounds significantly for applications with long shared system prompts, multi-turn conversations, or document Q&A where the same context is reused across many queries.

Its 1.0M-token context window is among the largest available — sufficient for processing entire codebases, book-length documents, or hours of transcribed audio in a single API call. Maximum output length is 1.0M tokens — sufficient for long-form content generation, detailed code files, and extended reports.

nvidia/nemotron-3-ultra-550b-a55b is best suited to general language tasks. Supported capabilities include streaming token output for real-time UIs. When evaluating this model for a specific workload, the most important factors are: context window (does your input fit?), output price (how long are your generations?), and latency (is this interactive or batch?). The pricing table above shows how nvidia/nemotron-3-ultra-550b-a55b compares to similar models across these dimensions.

nvidia/nemotron-3-ultra-550b-a55b sits in the frontier tier — the highest-capability models available, used when quality is the primary constraint and cost is secondary. As an open-weights model, nvidia/nemotron-3-ultra-550b-a55b can be self-hosted on GPU compute (see the GPU rental comparison on this site) to eliminate per-token API costs entirely — the break-even point versus API pricing depends on your volume and the GPU hourly rate. When comparing nvidia/nemotron-3-ultra-550b-a55b to alternatives, use the similar models section on this page to find models at comparable price points with different capability tradeoffs. The intelligence score (N/A/100) reflects aggregate benchmark performance — a useful proxy for general capability, though real-world performance varies significantly by task type. Always test with your specific prompts and use case before committing to a model for production.