---
title: "NVIDIA-Nemotron-3-Ultra-550B-A55B - Model Details & Comparison"
description: "NVIDIA-Nemotron-3-Ultra-550B-A55B from Wandb: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/wandb/nvidia-nemotron-3-ultra-550b-a55b"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/wandb/nvidia-nemotron-3-ultra-550b-a55b.md"
---

# NVIDIA-Nemotron-3-Ultra-550B-A55B - Model Details & Comparison

> NVIDIA-Nemotron-3-Ultra-550B-A55B from Wandb: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md)
- [Features](https://www.getmaxim.ai/bifrost/#features)
- [Enterprise](https://www.getmaxim.ai/enterprise)
- [Pricing](https://www.getmaxim.ai/pricing)
- [Docs](https://docs.getbifrost.ai)
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## About NVIDIA-Nemotron-3-Ultra-550B-A55B

NVIDIA-Nemotron-3-Ultra-550B-A55B is a chat model from Wandb, one of 37 chat models they offer. It is priced at $0.50 per 1M input tokens and $2.15 per 1M output tokens, ranking 1757 out of 3648 chat models by cost and cheaper than 51% of models in this category. NVIDIA-Nemotron-3-Ultra-550B-A55B supports reasoning, prompt caching. Its 262K-token context window is in the top 39% among chat models.

## Specifications

- **Wandb Provider.**
- **Chat Mode.**
- **262,144 Max Input Tokens.**
- **262,144 Max Tokens.**
- **$0.50 / 1M tokens Input Price.**
- **$2.15 / 1M tokens Output Price.**

## Capabilities

NVIDIA-Nemotron-3-Ultra-550B-A55B supports: Reasoning, Prompt Caching.

## NVIDIA-Nemotron-3-Ultra-550B-A55B Pricing Overview

At $0.50 per 1M input tokens and $2.15 per 1M output tokens, NVIDIA-Nemotron-3-Ultra-550B-A55B ranks 1757 out of 3648 chat models by input cost. It is more affordable compared to the median of $0.57 for chat models, and is cheaper than 51% of models in this category.

NVIDIA-Nemotron-3-Ultra-550B-A55B is one of 37 Wandb chat models, with support for reasoning, prompt caching. its 262K-token context window places it in the top 39% of chat models.

## Models to Compare

Alternatives to NVIDIA-Nemotron-3-Ultra-550B-A55B with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| FW-DeepSeek-V3.2 | Azure | $0.62 | $1.85 |
| deepseek-v3.2 | Azure | $0.58 | $1.68 |
| deepseek-v3.2-speciale | Azure | $0.58 | $1.68 |
| kimi-k2.6 | Azure | $0.60 | $3.00 |
| deepseek-r1 | DeepSeek | $0.55 | $2.19 |

- [Compare FW-DeepSeek-V3.2](https://www.getmaxim.ai/bifrost/model-library/compare/azure/fw-deepseek-v3.2.md)
- [Compare deepseek-v3.2](https://www.getmaxim.ai/bifrost/model-library/compare/azure/deepseek-v3.2.md)
- [Compare deepseek-v3.2-speciale](https://www.getmaxim.ai/bifrost/model-library/compare/azure/deepseek-v3.2-speciale.md)
- [Compare kimi-k2.6](https://www.getmaxim.ai/bifrost/model-library/compare/azure/kimi-k2.6.md)
- [Compare deepseek-r1](https://www.getmaxim.ai/bifrost/model-library/compare/deepseek/deepseek-r1.md)

## Related Resources

- [Calculate NVIDIA-Nemotron-3-Ultra-550B-A55B costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/wandb/model/nvidia-nemotron-3-ultra-550b-a55b.md)
- [All Wandb pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/wandb.md)

## FAQ

### Is NVIDIA-Nemotron-3-Ultra-550B-A55B cheaper than FW-DeepSeek-V3.2?

Yes. NVIDIA-Nemotron-3-Ultra-550B-A55B costs $0.50 per 1M input tokens compared to FW-DeepSeek-V3.2's $0.62 per 1M input tokens, making it 24% more affordable. Both are chat models and share support for function calling, reasoning, prompt caching.

### How does NVIDIA-Nemotron-3-Ultra-550B-A55B pricing compare to the average chat model?

NVIDIA-Nemotron-3-Ultra-550B-A55B input pricing is $0.50 per 1M tokens, which is 12% below the median of $0.57 for chat models. It ranks 1757 out of 3648 chat models by input cost, making it cheaper than 51% of models in this category. For output, it costs $2.15 per 1M tokens compared to the median of $1.65.

### What makes NVIDIA-Nemotron-3-Ultra-550B-A55B different from other Wandb models?

Among Wandb's 37 chat models, NVIDIA-Nemotron-3-Ultra-550B-A55B ranks 23 by input cost.

### What are the best alternatives to NVIDIA-Nemotron-3-Ultra-550B-A55B?

The most comparable chat models to NVIDIA-Nemotron-3-Ultra-550B-A55B are: FW-DeepSeek-V3.2 from Azure ($0.62/1M input tokens); deepseek-v3.2 from Azure ($0.58/1M input tokens); deepseek-v3.2-speciale from Azure ($0.58/1M input tokens); kimi-k2.6 from Azure ($0.60/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.

### How do I calculate NVIDIA-Nemotron-3-Ultra-550B-A55B costs?

NVIDIA-Nemotron-3-Ultra-550B-A55B is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.50 and generating 1M output tokens costs $2.15.

## Related Resources

- [Wandb models](https://www.getmaxim.ai/bifrost/model-library/provider/wandb.md)
- [Model library](https://www.getmaxim.ai/bifrost/model-library.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Docs: Bifrost docs](https://docs.getbifrost.ai)
- [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost)
- [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing)
- [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise)
- [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo)
- [Resources: Bifrost resources](https://www.getmaxim.ai/bifrost/resources.md)

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*This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/wandb/nvidia-nemotron-3-ultra-550b-a55b](https://www.getmaxim.ai/bifrost/model-library/compare/wandb/nvidia-nemotron-3-ultra-550b-a55b) for AI/LLM consumption.*