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Llama-4-Scout-17B-16E-Instruct Cost Calculator - SambaNova

Calculate the cost of using Llama-4-Scout-17B-16E-Instruct from SambaNova for your AI applications

Pricing data last updated:

Llama-4-Scout-17B-16E-Instruct Cost Calculator

Mode: Chat

Max: 8,192 tokens

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00040000
Output Cost$0.00070000
Total Cost$0.001100

Pricing Details

Input: $0.0000004000 per token
Output: $0.0000007000 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens8,192
Max Output Tokens8,192
Max Tokens8,192

About Llama-4-Scout-17B-16E-Instruct

Llama-4-Scout-17B-16E-Instruct is a chat model from SambaNova, one of 17 chat models they offer. It is priced at $0.40 per 1M input tokens and $0.70 per 1M output tokens, ranking 1019 out of 2292 chat models by cost and cheaper than 55% of models in this category. Llama-4-Scout-17B-16E-Instruct supports function calling, structured output. It accepts up to 8K input tokens.

Pricing Information

Input Cost$0.40 per 1M tokens
Output Cost$0.70 per 1M tokens

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

Technical Specifications

Maximum Input Tokens8,192
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 8,192 input tokens. The maximum output length is 8,192 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Response Schema - Structured output formatting

How Llama-4-Scout-17B-16E-Instruct Pricing Compares

At $0.40 per 1M input tokens and $0.70 per 1M output tokens, Llama-4-Scout-17B-16E-Instruct ranks 1019 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 55% of models in this category.

Llama-4-Scout-17B-16E-Instruct is one of 17 SambaNova chat models, with support for function calling, structured output.

ModelProviderInput / 1M tokensOutput / 1M tokensvs Llama-4-Scout-17B-16E-Instruct
apac.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75-17%
eu.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75-17%
us.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75-17%

Alternatives to Llama-4-Scout-17B-16E-Instruct

Similar chat models from other providers

AWS Bedrock
apac.amazon.nova-2-lite-v1:0
$0.33/1M input
-17% vs Llama-4-Scout-17B-16E-Instruct
AWS Bedrock
eu.amazon.nova-2-lite-v1:0
$0.33/1M input
-17% vs Llama-4-Scout-17B-16E-Instruct
AWS Bedrock
us.amazon.nova-2-lite-v1:0
$0.33/1M input
-17% vs Llama-4-Scout-17B-16E-Instruct
Azure
gpt-4.1-mini
$0.40/1M input
0% vs Llama-4-Scout-17B-16E-Instruct
Azure
gpt-4.1-mini-2025-04-14
$0.40/1M input
0% vs Llama-4-Scout-17B-16E-Instruct

Frequently Asked Questions

Is Llama-4-Scout-17B-16E-Instruct cheaper than apac.amazon.nova-2-lite-v1:0?

No. Llama-4-Scout-17B-16E-Instruct costs $0.40 per 1M input tokens while apac.amazon.nova-2-lite-v1:0 costs $0.33 per 1M input tokens, making apac.amazon.nova-2-lite-v1:0 17% more affordable for input. However, Llama-4-Scout-17B-16E-Instruct may offer different capabilities or performance characteristics that justify the price difference.

How does Llama-4-Scout-17B-16E-Instruct pricing compare to the average chat model?

Llama-4-Scout-17B-16E-Instruct input pricing is $0.40 per 1M tokens, which is 27% below the median of $0.55 for chat models. It ranks 1019 out of 2292 chat models by input cost, making it cheaper than 55% of models in this category. For output, it costs $0.70 per 1M tokens compared to the median of $1.50.

What makes Llama-4-Scout-17B-16E-Instruct different from other SambaNova models?

Among SambaNova's 17 chat models, Llama-4-Scout-17B-16E-Instruct ranks 6 by input cost.

What are the best alternatives to Llama-4-Scout-17B-16E-Instruct?

The most comparable chat models to Llama-4-Scout-17B-16E-Instruct are: apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); gpt-4.1-mini from Azure ($0.40/1M 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 Llama-4-Scout-17B-16E-Instruct costs?

Llama-4-Scout-17B-16E-Instruct 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 $0.40 and generating 1M output tokens costs $0.70.