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llama-4-maverick-17b-128e-instruct-maas Cost Calculator - Vertex Ai-llama Models

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

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

Mode: Chat

Max: 1,000,000 tokens

Max: 1,000,000 tokens

Cost Breakdown

Input Cost$0.00035000
Output Cost$0.001150
Total Cost$0.001500

Pricing Details

Input: $0.0000003500 per token
Output: $0.00000115 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens1,000,000
Max Output Tokens1,000,000
Max Tokens1,000,000

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

llama-4-maverick-17b-128e-instruct-maas is a powerful chat AI model offered by Vertex Ai-llama Models. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using llama-4-maverick-17b-128e-instruct-maas in your applications.

Pricing Information

Input Cost$0.35 per 1M tokens
Output Cost$1.15 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,000,000
Maximum Output Tokens1,000,000
Maximum Total Tokens1,000,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,000,000 input tokens. The maximum output length is 1,000,000 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
When should you use llama-4-maverick-17b-128e-instruct-maas?

llama-4-maverick-17b-128e-instruct-maas is best suited for the following scenarios:

  • Long-context chat and document analysis
  • Agent workflows with large memory windows
  • Agentic systems with function or tool calling
  • Workflow automation and API orchestration
When should you avoid llama-4-maverick-17b-128e-instruct-maas?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
How does llama-4-maverick-17b-128e-instruct-maas compare to similar models?

Compared to other models in a similar category, this model is more cost-efficient on input tokens but relatively expensive on output tokens. It is better suited for retrieval-heavy or context-rich workflows than generation-heavy use cases.

Understanding llama-4-maverick-17b-128e-instruct-maas pricing
  • llama-4-maverick-17b-128e-instruct-maas is a general-purpose AI model provided by Vertex Ai-llama Models.
  • Input tokens are priced at $0.35 per 1M tokens.
  • Output tokens are priced at $1.15 per 1M tokens.
  • The model supports a maximum input capacity of 1,000,000 tokens.
  • Maximum output length is 1,000,000 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • Supports function calling for executing custom functions and tools.
  • Vertex Ai-llama Models offers llama-4-maverick-17b-128e-instruct-maas for general-purpose AI workloads — general-purpose AI workloads.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.

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