Calculate the cost of using nvidia.nemotron-super-3-120b from AWS Bedrock for your AI applications
Pricing data last updated:
Mode: Chat
Max: 256,000 tokens
Max: 32,768 tokens
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nvidia.nemotron-super-3-120b is a chat model from AWS Bedrock, one of 317 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.65 per 1M output tokens, ranking 456 out of 2168 chat models by cost and cheaper than 77% of models in this category. nvidia.nemotron-super-3-120b supports function calling, reasoning. Its 256K-token context window is in the top 27% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 256,000 input tokens. The maximum output length is 32,768 tokens.
At $0.15 per 1M input tokens and $0.65 per 1M output tokens, nvidia.nemotron-super-3-120b ranks 456 out of 2168 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 77% of models in this category.
nvidia.nemotron-super-3-120b is one of 317 AWS Bedrock chat models, with support for function calling, reasoning. its 256K-token context window places it in the top 27% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs nvidia.nemotron-super-3-120b |
|---|---|---|---|---|
| Phi-4-reasoning | Azure | $0.13 | $0.50 | -17% |
| qwen3-next-80b-a3b-thinking | Dashscope | $0.15 | $1.20 | 0% |
| qwen3-vl-32b-thinking | Dashscope | $0.16 | $2.87 | +7% |
Similar chat models from other providers
No. nvidia.nemotron-super-3-120b costs $0.15 per 1M input tokens while Phi-4-reasoning costs $0.13 per 1M input tokens, making Phi-4-reasoning 17% more affordable for input. However, nvidia.nemotron-super-3-120b may offer different capabilities or performance characteristics that justify the price difference.
nvidia.nemotron-super-3-120b input pricing is $0.15 per 1M tokens, which is 73% below the median of $0.55 for chat models. It ranks 456 out of 2168 chat models by input cost, making it cheaper than 77% of models in this category. For output, it costs $0.65 per 1M tokens compared to the median of $1.44.
Among AWS Bedrock's 317 chat models, nvidia.nemotron-super-3-120b ranks 27 by input cost.
The most comparable chat models to nvidia.nemotron-super-3-120b are: Phi-4-reasoning from Azure ($0.13/1M input tokens); qwen3-next-80b-a3b-thinking from Dashscope ($0.15/1M input tokens); qwen3-vl-32b-thinking from Dashscope ($0.16/1M input tokens); gpt-oss-120b from Fireworks AI ($0.15/1M 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.
nvidia.nemotron-super-3-120b supports up to 256,000 input tokens, placing it in the top 27% of chat models by context window size (rank 534 of 2093). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
nvidia.nemotron-super-3-120b 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 $0.15 and generating 1M output tokens costs $0.65.
