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llama-4-scout-17b-128e-instruct-maas Cost Calculator - Vertex AI

Calculate the cost of using llama-4-scout-17b-128e-instruct-maas from Vertex AI for your AI applications

Pricing data last updated:

llama-4-scout-17b-128e-instruct-maas Cost Calculator

Mode: Chat

Max: 10,000,000 tokens

Max: 10,000,000 tokens

Cost Breakdown

Input Cost$0.00025000
Output Cost$0.00070000
Total Cost$0.00095000

Pricing Details

Input: $0.0000002500 per token
Output: $0.0000007000 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens10,000,000
Max Output Tokens10,000,000
Max Tokens10,000,000

About llama-4-scout-17b-128e-instruct-maas

llama-4-scout-17b-128e-instruct-maas is a chat model from Vertex AI, one of 104 chat models they offer. It is priced at $0.25 per 1M input tokens and $0.70 per 1M output tokens, ranking 760 out of 2168 chat models by cost and cheaper than 64% of models in this category. llama-4-scout-17b-128e-instruct-maas supports function calling. Its 10,000K-token context window is in the top 0% among chat models.

Pricing Information

Input Cost$0.25 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 Tokens10,000,000
Maximum Output Tokens10,000,000
Maximum Total Tokens10,000,000

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 10,000,000 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools

How llama-4-scout-17b-128e-instruct-maas Pricing Compares

At $0.25 per 1M input tokens and $0.70 per 1M output tokens, llama-4-scout-17b-128e-instruct-maas ranks 760 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 64% of models in this category.

llama-4-scout-17b-128e-instruct-maas is one of 104 Vertex AI 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 llama-4-scout-17b-128e-instruct-maas
amazon.nova-2-lite-v1:0AWS Bedrock$0.30$2.50+20%
anthropic.claude-3-haiku-20240307-v1:0AWS Bedrock$0.25$1.250%
apac.anthropic.claude-3-haiku-20240307-v1:0AWS Bedrock$0.25$1.250%

Alternatives to llama-4-scout-17b-128e-instruct-maas

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-lite-v1:0
$0.30/1M input
+20% vs llama-4-scout-17b-128e-instruct-maas
AWS Bedrock
anthropic.claude-3-haiku-20240307-v1:0
$0.25/1M input
0% vs llama-4-scout-17b-128e-instruct-maas
AWS Bedrock
apac.anthropic.claude-3-haiku-20240307-v1:0
$0.25/1M input
0% vs llama-4-scout-17b-128e-instruct-maas
Azure
gpt-5.4-nano
$0.20/1M input
-20% vs llama-4-scout-17b-128e-instruct-maas
Azure
gpt-5.4-nano-2026-03-17
$0.20/1M input
-20% vs llama-4-scout-17b-128e-instruct-maas

Frequently Asked Questions

Is llama-4-scout-17b-128e-instruct-maas cheaper than amazon.nova-2-lite-v1:0?

Yes. llama-4-scout-17b-128e-instruct-maas costs $0.25 per 1M input tokens compared to amazon.nova-2-lite-v1:0's $0.30 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

How does llama-4-scout-17b-128e-instruct-maas pricing compare to the average chat model?

llama-4-scout-17b-128e-instruct-maas input pricing is $0.25 per 1M tokens, which is 55% below the median of $0.55 for chat models. It ranks 760 out of 2168 chat models by input cost, making it cheaper than 64% of models in this category. For output, it costs $0.70 per 1M tokens compared to the median of $1.44.

What makes llama-4-scout-17b-128e-instruct-maas different from other Vertex AI models?

Among Vertex AI's 104 chat models, llama-4-scout-17b-128e-instruct-maas ranks 29 by input cost.

What are the best alternatives to llama-4-scout-17b-128e-instruct-maas?

The most comparable chat models to llama-4-scout-17b-128e-instruct-maas are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); apac.anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M 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 llama-4-scout-17b-128e-instruct-maas's context window?

llama-4-scout-17b-128e-instruct-maas supports up to 10,000,000 input tokens, placing it in the top 0% of chat models by context window size (rank 3 of 2093). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate llama-4-scout-17b-128e-instruct-maas costs?

llama-4-scout-17b-128e-instruct-maas 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 $0.25 and generating 1M output tokens costs $0.70.