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llama3.1-nemotron-70b-instruct-fp8 Cost Calculator - Lambda Ai

Calculate the cost of using llama3.1-nemotron-70b-instruct-fp8 from Lambda Ai for your AI applications

Pricing data last updated:

llama3.1-nemotron-70b-instruct-fp8 Cost Calculator

Mode: Chat

Max: 131,072 tokens

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.00012000
Output Cost$0.00030000
Total Cost$0.00042000

Pricing Details

Input: $0.0000001200 per token
Output: $0.0000003000 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens131,072
Max Output Tokens131,072
Max Tokens131,072

About llama3.1-nemotron-70b-instruct-fp8

llama3.1-nemotron-70b-instruct-fp8 is a chat model from Lambda Ai, one of 20 chat models they offer. It is priced at $0.12 per 1M input tokens and $0.30 per 1M output tokens, ranking 376 out of 2168 chat models by cost and cheaper than 82% of models in this category. llama3.1-nemotron-70b-instruct-fp8 supports function calling. It accepts up to 131K input tokens.

Pricing Information

Input Cost$0.12 per 1M tokens
Output Cost$0.30 per 1M tokens

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

Technical Specifications

Maximum Input Tokens131,072
Maximum Output Tokens131,072
Maximum Total Tokens131,072

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 131,072 tokens.

Model Capabilities

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

How llama3.1-nemotron-70b-instruct-fp8 Pricing Compares

At $0.12 per 1M input tokens and $0.30 per 1M output tokens, llama3.1-nemotron-70b-instruct-fp8 ranks 376 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 82% of models in this category.

llama3.1-nemotron-70b-instruct-fp8 is one of 20 Lambda Ai chat models, with support for function calling.

ModelProviderInput / 1M tokensOutput / 1M tokensvs llama3.1-nemotron-70b-instruct-fp8
Mistral-7B-Instruct-v0.1Anyscale$0.15$0.15+25%
Mixtral-8x7B-Instruct-v0.1Anyscale$0.15$0.15+25%
gpt-oss-120bAzure$0.15$0.60+25%

Alternatives to llama3.1-nemotron-70b-instruct-fp8

Similar chat models from other providers

Anyscale
Mistral-7B-Instruct-v0.1
$0.15/1M input
+25% vs llama3.1-nemotron-70b-instruct-fp8
Anyscale
Mixtral-8x7B-Instruct-v0.1
$0.15/1M input
+25% vs llama3.1-nemotron-70b-instruct-fp8
Azure
gpt-oss-120b
$0.15/1M input
+25% vs llama3.1-nemotron-70b-instruct-fp8
Azure
gpt-4o-mini
$0.15/1M input
+25% vs llama3.1-nemotron-70b-instruct-fp8
Azure
gpt-4.1-nano
$0.10/1M input
-17% vs llama3.1-nemotron-70b-instruct-fp8

Frequently Asked Questions

Is llama3.1-nemotron-70b-instruct-fp8 cheaper than Mistral-7B-Instruct-v0.1?

Yes. llama3.1-nemotron-70b-instruct-fp8 costs $0.12 per 1M input tokens compared to Mistral-7B-Instruct-v0.1's $0.15 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for function calling.

How does llama3.1-nemotron-70b-instruct-fp8 pricing compare to the average chat model?

llama3.1-nemotron-70b-instruct-fp8 input pricing is $0.12 per 1M tokens, which is 78% below the median of $0.55 for chat models. It ranks 376 out of 2168 chat models by input cost, making it cheaper than 82% of models in this category. For output, it costs $0.30 per 1M tokens compared to the median of $1.44.

What makes llama3.1-nemotron-70b-instruct-fp8 different from other Lambda Ai models?

Among Lambda Ai's 20 chat models, llama3.1-nemotron-70b-instruct-fp8 ranks 13 by input cost.

What are the best alternatives to llama3.1-nemotron-70b-instruct-fp8?

The most comparable chat models to llama3.1-nemotron-70b-instruct-fp8 are: Mistral-7B-Instruct-v0.1 from Anyscale ($0.15/1M input tokens); Mixtral-8x7B-Instruct-v0.1 from Anyscale ($0.15/1M input tokens); gpt-oss-120b from Azure ($0.15/1M input tokens); gpt-4o-mini from Azure ($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.

How do I calculate llama3.1-nemotron-70b-instruct-fp8 costs?

llama3.1-nemotron-70b-instruct-fp8 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 $0.12 and generating 1M output tokens costs $0.30.