Try Bifrost Enterprise free for 14 days.
Request access

us.meta.llama4-scout-17b-instruct-v1:0 Cost Calculator - AWS Bedrock

Calculate the cost of using us.meta.llama4-scout-17b-instruct-v1:0 from AWS Bedrock for your AI applications

Pricing data last updated:

us.meta.llama4-scout-17b-instruct-v1:0 Cost Calculator

Mode: Chat

Max: 10,000,000 tokens

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00017000
Output Cost$0.00066000
Total Cost$0.00083000

Pricing Details

Input: $0.0000001700 per token
Output: $0.0000006600 per token
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens10,000,000
Max Output Tokens8,192
Max Tokens8,192

About us.meta.llama4-scout-17b-instruct-v1:0

us.meta.llama4-scout-17b-instruct-v1:0 is a chat model from AWS Bedrock, one of 460 chat models they offer. It is priced at $0.17 per 1M input tokens and $0.66 per 1M output tokens, ranking 877 out of 3778 chat models by cost and cheaper than 77% of models in this category. us.meta.llama4-scout-17b-instruct-v1:0 supports function calling. Its 10,000K-token context window is in the top 0% among chat models.

Pricing Information

Input Cost$0.17 per 1M tokens
Output Cost$0.66 per 1M tokens

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

Technical Specifications

Maximum Input Tokens10,000,000
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 10,000,000 input tokens. The maximum output length is 8,192 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools

How us.meta.llama4-scout-17b-instruct-v1:0 Pricing Compares

At $0.17 per 1M input tokens and $0.66 per 1M output tokens, us.meta.llama4-scout-17b-instruct-v1:0 ranks 877 out of 3778 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 77% of models in this category.

us.meta.llama4-scout-17b-instruct-v1:0 is one of 460 AWS Bedrock chat models, with support for function calling. its 10,000K-token context window places it in the top 0% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs us.meta.llama4-scout-17b-instruct-v1:0
Mistral-7B-Instruct-v0.1Anyscale$0.15$0.15-12%
Mixtral-8x7B-Instruct-v0.1Anyscale$0.15$0.15-12%
gpt-oss-120bAzure$0.15$0.60-12%

Alternatives to us.meta.llama4-scout-17b-instruct-v1:0

Similar chat models from other providers

Anyscale
Mistral-7B-Instruct-v0.1
$0.15/1M input
-12% vs us.meta.llama4-scout-17b-instruct-v1:0
Anyscale
Mixtral-8x7B-Instruct-v0.1
$0.15/1M input
-12% vs us.meta.llama4-scout-17b-instruct-v1:0
Azure
gpt-oss-120b
$0.15/1M input
-12% vs us.meta.llama4-scout-17b-instruct-v1:0
Azure
gpt-5.4-nano
$0.20/1M input
+18% vs us.meta.llama4-scout-17b-instruct-v1:0
Azure
gpt-5.4-nano-2026-03-17
$0.20/1M input
+18% vs us.meta.llama4-scout-17b-instruct-v1:0

Frequently Asked Questions

Is us.meta.llama4-scout-17b-instruct-v1:0 cheaper than Mistral-7B-Instruct-v0.1?

No. us.meta.llama4-scout-17b-instruct-v1:0 costs $0.17 per 1M input tokens while Mistral-7B-Instruct-v0.1 costs $0.15 per 1M input tokens, making Mistral-7B-Instruct-v0.1 12% more affordable for input. However, us.meta.llama4-scout-17b-instruct-v1:0 may offer different capabilities or performance characteristics that justify the price difference.

How does us.meta.llama4-scout-17b-instruct-v1:0 pricing compare to the average chat model?

us.meta.llama4-scout-17b-instruct-v1:0 input pricing is $0.17 per 1M tokens, which is 72% below the median of $0.60 for chat models. It ranks 877 out of 3778 chat models by input cost, making it cheaper than 77% of models in this category. For output, it costs $0.66 per 1M tokens compared to the median of $1.75.

What makes us.meta.llama4-scout-17b-instruct-v1:0 different from other AWS Bedrock models?

Among AWS Bedrock's 460 chat models, us.meta.llama4-scout-17b-instruct-v1:0 ranks 66 by input cost.

What are the best alternatives to us.meta.llama4-scout-17b-instruct-v1:0?

The most comparable chat models to us.meta.llama4-scout-17b-instruct-v1:0 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-5.4-nano from Azure ($0.20/1M 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 us.meta.llama4-scout-17b-instruct-v1:0's context window?

us.meta.llama4-scout-17b-instruct-v1:0 supports up to 10,000,000 input tokens, placing it in the top 0% of chat models by context window size (rank 4 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate us.meta.llama4-scout-17b-instruct-v1:0 costs?

us.meta.llama4-scout-17b-instruct-v1:0 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 $0.17 and generating 1M output tokens costs $0.66.