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nvidia.nemotron-nano-9b-v2 Cost Calculator - AWS Bedrock

Calculate the cost of using nvidia.nemotron-nano-9b-v2 from AWS Bedrock for your AI applications

Pricing data last updated:

nvidia.nemotron-nano-9b-v2 Cost Calculator

Mode: Chat

Max: 128,000 tokens

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00006000
Output Cost$0.00023000
Total Cost$0.00029000

Pricing Details

Input: $0.0000000600 per token
Output: $0.0000002300 per token
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Model Specifications

Limits

Max Input Tokens128,000
Max Output Tokens8,192
Max Tokens8,192

About nvidia.nemotron-nano-9b-v2

nvidia.nemotron-nano-9b-v2 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 $0.23 per 1M output tokens, ranking 129 out of 2292 chat models by cost and cheaper than 94% of models in this category. It accepts up to 128K input tokens.

Pricing Information

Input Cost$0.06 per 1M tokens
Output Cost$0.23 per 1M tokens

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

Technical Specifications

Maximum Input Tokens128,000
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 128,000 input tokens. The maximum output length is 8,192 tokens.

Model Capabilities

System Messages - Configure model behavior

How nvidia.nemotron-nano-9b-v2 Pricing Compares

At $0.06 per 1M input tokens and $0.23 per 1M output tokens, nvidia.nemotron-nano-9b-v2 ranks 129 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.

ModelProviderInput / 1M tokensOutput / 1M tokensvs nvidia.nemotron-nano-9b-v2
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-9b-v2

Similar chat models from other providers

Azure
gpt-5-nano-2025-08-07
$0.06/1M input
-8% vs nvidia.nemotron-nano-9b-v2
Azure
gpt-5-nano
$0.05/1M input
-17% vs nvidia.nemotron-nano-9b-v2
Azure
Phi-4-mini-instruct
$0.07/1M input
+25% vs nvidia.nemotron-nano-9b-v2
Azure
Phi-4-mini-reasoning
$0.07/1M input
+25% vs nvidia.nemotron-nano-9b-v2
Dashscope
qwen-turbo
$0.05/1M input
-17% vs nvidia.nemotron-nano-9b-v2

Frequently Asked Questions

Is nvidia.nemotron-nano-9b-v2 cheaper than gpt-5-nano-2025-08-07?

No. nvidia.nemotron-nano-9b-v2 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-9b-v2 may offer different capabilities or performance characteristics that justify the price difference.

How does nvidia.nemotron-nano-9b-v2 pricing compare to the average chat model?

nvidia.nemotron-nano-9b-v2 input pricing is $0.06 per 1M tokens, which is 89% below the median of $0.55 for chat models. It ranks 129 out of 2292 chat models by input cost, making it cheaper than 94% of models in this category. For output, it costs $0.23 per 1M tokens compared to the median of $1.50.

What makes nvidia.nemotron-nano-9b-v2 different from other AWS Bedrock models?

Among AWS Bedrock's 317 chat models, nvidia.nemotron-nano-9b-v2 ranks 8 by input cost.

What are the best alternatives to nvidia.nemotron-nano-9b-v2?

The most comparable chat models to nvidia.nemotron-nano-9b-v2 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 do I calculate nvidia.nemotron-nano-9b-v2 costs?

nvidia.nemotron-nano-9b-v2 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 $0.23.