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nvidia.nemotron-nano-3-30b Cost Calculator - AWS Bedrock

Calculate the cost of using nvidia.nemotron-nano-3-30b from AWS Bedrock for your AI applications

Pricing data last updated:

nvidia.nemotron-nano-3-30b Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00006000
Output Cost$0.00024000
Total Cost$0.00030000

Pricing Details

Input: $0.0000000600 per token
Output: $0.0000002400 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens262,144
Max Output Tokens8,192
Max Tokens8,192

About nvidia.nemotron-nano-3-30b

nvidia.nemotron-nano-3-30b is a chat model from AWS Bedrock, one of 317 chat models they offer. It is priced at $0.06 per 1M input tokens and $0.24 per 1M output tokens, ranking 130 out of 2292 chat models by cost and cheaper than 94% of models in this category. nvidia.nemotron-nano-3-30b supports function calling. Its 262K-token context window is in the top 25% among chat models.

Pricing Information

Input Cost$0.06 per 1M tokens
Output Cost$0.24 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens262,144
Maximum Output Tokens8,192
Maximum Total Tokens8,192

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,144 input tokens. The maximum output length is 8,192 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
System Messages - Configure model behavior

How nvidia.nemotron-nano-3-30b Pricing Compares

At $0.06 per 1M input tokens and $0.24 per 1M output tokens, nvidia.nemotron-nano-3-30b ranks 130 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 94% of models in this category.

nvidia.nemotron-nano-3-30b is one of 317 AWS Bedrock chat models, with support for function calling. its 262K-token context window places it in the top 25% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs nvidia.nemotron-nano-3-30b
gpt-5-nano-2025-08-07Azure$0.06$0.44-8%
gpt-5-nanoAzure$0.05$0.40-17%
Phi-4-mini-instructAzure$0.07$0.30+25%

Alternatives to nvidia.nemotron-nano-3-30b

Similar chat models from other providers

Azure
gpt-5-nano-2025-08-07
$0.06/1M input
-8% vs nvidia.nemotron-nano-3-30b
Azure
gpt-5-nano
$0.05/1M input
-17% vs nvidia.nemotron-nano-3-30b
Azure
Phi-4-mini-instruct
$0.07/1M input
+25% vs nvidia.nemotron-nano-3-30b
Azure
Phi-4-mini-reasoning
$0.07/1M input
+25% vs nvidia.nemotron-nano-3-30b
Dashscope
qwen-turbo
$0.05/1M input
-17% vs nvidia.nemotron-nano-3-30b

Frequently Asked Questions

Is nvidia.nemotron-nano-3-30b cheaper than gpt-5-nano-2025-08-07?

No. nvidia.nemotron-nano-3-30b costs $0.06 per 1M input tokens while gpt-5-nano-2025-08-07 costs $0.06 per 1M input tokens, making gpt-5-nano-2025-08-07 8% 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 $0.06 per 1M tokens, which is 89% below the median of $0.55 for chat models. It ranks 130 out of 2292 chat models by input cost, making it cheaper than 94% of models in this category. For output, it costs $0.24 per 1M tokens compared to the median of $1.50.

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

Among AWS Bedrock's 317 chat models, nvidia.nemotron-nano-3-30b ranks 9 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: gpt-5-nano-2025-08-07 from Azure ($0.06/1M input tokens); gpt-5-nano from Azure ($0.05/1M input tokens); Phi-4-mini-instruct from Azure ($0.07/1M input tokens); Phi-4-mini-reasoning 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 large is nvidia.nemotron-nano-3-30b's context window?

nvidia.nemotron-nano-3-30b supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 453 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

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 $0.06 and generating 1M output tokens costs $0.24.