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meta-llama-3.1-70b-instruct Cost Calculator - FriendliAI

Calculate the cost of using meta-llama-3.1-70b-instruct from FriendliAI for your AI applications

meta-llama-3.1-70b-instruct Cost Calculator

Mode: Chat

Max: 8,192 tokens

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00060000
Output Cost$0.00060000
Total Cost$0.001200

Pricing Details

Input: $0.0000006000 per token
Output: $0.0000006000 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

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

About meta-llama-3.1-70b-instruct

meta-llama-3.1-70b-instruct is a powerful chat AI model offered by FriendliAI. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using meta-llama-3.1-70b-instruct in your applications.

Pricing Information

Input Cost$0.60 per 1M tokens
Output Cost$0.60 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
✓System Messages - Configure model behavior
✓Parallel Function Calling - Execute multiple functions simultaneously
✓Response Schema - Structured output formatting
When should you use meta-llama-3.1-70b-instruct?

meta-llama-3.1-70b-instruct is best suited for the following scenarios:

  • Agentic systems with function or tool calling
  • Workflow automation and API orchestration
When should you avoid meta-llama-3.1-70b-instruct?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
  • Very large documents or long conversational histories
How does meta-llama-3.1-70b-instruct compare to similar models?

This model offers competitive input token pricing, making it cost-effective for applications that require extensive context or frequent input processing.

Understanding meta-llama-3.1-70b-instruct pricing
  • meta-llama-3.1-70b-instruct is a general-purpose AI model provided by FriendliAI.
  • Input tokens are priced at $0.60 per 1M tokens.
  • Output tokens are priced at $0.60 per 1M tokens.
  • The model supports a maximum input capacity of 8,192 tokens.
  • Maximum output length is 8,192 tokens.
  • For this model, input tokens are more expensive than output tokens, so optimizing your prompts can help manage costs.
  • Supports function calling for executing custom functions and tools.
  • FriendliAI offers meta-llama-3.1-70b-instruct 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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meta-llama-3.1-70b-instruct Cost Calculator - FriendliAI | Bifrost