---
title: "nvidia.nemotron-nano-3-30b - Model Details & Comparison"
description: "nvidia.nemotron-nano-3-30b from Bedrock Mantle: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/bedrock_mantle/nvidia.nemotron-nano-3-30b"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/bedrock_mantle/nvidia.nemotron-nano-3-30b.md"
---

# nvidia.nemotron-nano-3-30b - Model Details & Comparison

> nvidia.nemotron-nano-3-30b from Bedrock Mantle: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## Important Links

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## About nvidia.nemotron-nano-3-30b

nvidia.nemotron-nano-3-30b is a chat model from Bedrock Mantle, one of 81 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.29 per 1M output tokens, ranking 300 out of 3648 chat models by cost and cheaper than 92% of models in this category. nvidia.nemotron-nano-3-30b supports function calling. Its 256K-token context window is in the top 44% among chat models.

## Specifications

- **Bedrock Mantle Provider.**
- **Chat Mode.**
- **256,000 Max Input Tokens.**
- **8,000 Max Output Tokens.**
- **8,000 Max Tokens.**
- **$0.07 / 1M tokens Input Price.**
- **$0.29 / 1M tokens Output Price.**

## Capabilities

nvidia.nemotron-nano-3-30b supports: Function Calling, Tool Choice.

## nvidia.nemotron-nano-3-30b Pricing Overview

At $0.07 per 1M input tokens and $0.29 per 1M output tokens, nvidia.nemotron-nano-3-30b ranks 300 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 92% of models in this category.

nvidia.nemotron-nano-3-30b is one of 81 Bedrock Mantle chat models, with support for function calling. its 256K-token context window places it in the top 44% of chat models.

## Models to Compare

Alternatives to nvidia.nemotron-nano-3-30b with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.24 |
| apac.amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.25 |
| FW-Nemotron-Lightning-3.5-30B-A3B | Azure | $0.06 | $0.22 |
| Phi-4-mini-instruct | Azure | $0.07 | $0.30 |
| Phi-4-multimodal-instruct | Azure | $0.08 | $0.32 |

- [Compare amazon.nova-lite-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/amazon.nova-lite-v1-0.md)
- [Compare apac.amazon.nova-lite-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/apac.amazon.nova-lite-v1-0.md)
- [Compare FW-Nemotron-Lightning-3.5-30B-A3B](https://www.getmaxim.ai/bifrost/model-library/compare/azure/fw-nemotron-lightning-3.5-30b-a3b.md)
- [Compare Phi-4-mini-instruct](https://www.getmaxim.ai/bifrost/model-library/compare/azure/phi-4-mini-instruct.md)
- [Compare Phi-4-multimodal-instruct](https://www.getmaxim.ai/bifrost/model-library/compare/azure/phi-4-multimodal-instruct.md)

## Related Resources

- [Calculate nvidia.nemotron-nano-3-30b costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/nvidia.nemotron-nano-3-30b.md)
- [All Bedrock Mantle pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle.md)

## FAQ

### Is nvidia.nemotron-nano-3-30b cheaper than amazon.nova-lite-v1:0?

No. nvidia.nemotron-nano-3-30b costs $0.07 per 1M input tokens while amazon.nova-lite-v1:0 costs $0.06 per 1M input tokens, making amazon.nova-lite-v1:0 17% more affordable for input. However, nvidia.nemotron-nano-3-30b may offer different capabilities or performance characteristics that justify the price difference.

### How does nvidia.nemotron-nano-3-30b pricing compare to the average chat model?

nvidia.nemotron-nano-3-30b input pricing is $0.07 per 1M tokens, which is 87% below the median of $0.57 for chat models. It ranks 300 out of 3648 chat models by input cost, making it cheaper than 92% of models in this category. For output, it costs $0.29 per 1M tokens compared to the median of $1.65.

### What makes nvidia.nemotron-nano-3-30b different from other Bedrock Mantle models?

Among Bedrock Mantle's 81 chat models, nvidia.nemotron-nano-3-30b ranks 11 by input cost.

### What are the best alternatives to nvidia.nemotron-nano-3-30b?

The most comparable chat models to nvidia.nemotron-nano-3-30b are: amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); apac.amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); FW-Nemotron-Lightning-3.5-30B-A3B from Azure ($0.06/1M input tokens); Phi-4-mini-instruct from Azure ($0.07/1M 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-nano-3-30b costs?

nvidia.nemotron-nano-3-30b 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 $0.07 and generating 1M output tokens costs $0.29.

## Related Resources

- [Bedrock Mantle models](https://www.getmaxim.ai/bifrost/model-library/provider/bedrock_mantle.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)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/bedrock_mantle/nvidia.nemotron-nano-3-30b](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock_mantle/nvidia.nemotron-nano-3-30b) for AI/LLM consumption.*