Meta-Llama-3.1-70B-Instruct-Turbo Cost Calculator - Together AI

Calculate the cost of using Meta-Llama-3.1-70B-Instruct-Turbo from Together AI for your AI applications

Meta-Llama-3.1-70B-Instruct-Turbo Cost Calculator

Mode: Chat

Input Tokens

Output Tokens

Cost Breakdown

Input Cost$0.00088000

Output Cost$0.00088000

Total Cost$0.001760

Pricing Details

Input: $0.0000008800 per token

Output: $0.0000008800 per token

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About Meta-Llama-3.1-70B-Instruct-Turbo

Meta-Llama-3.1-70B-Instruct-Turbo is a powerful chat AI model offered by Together AI. 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-Turbo in your applications.

Pricing Information

Input Cost$0.88 per 1M tokens

Output Cost$0.88 per 1M tokens

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

Model Capabilities

✓Function Calling - Execute custom functions and tools

✓Parallel Function Calling - Execute multiple functions simultaneously

✓Response Schema - Structured output formatting

When should you use Meta-Llama-3.1-70B-Instruct-Turbo?

Meta-Llama-3.1-70B-Instruct-Turbo 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-Turbo?

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-Turbo 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-Turbo pricing

Meta-Llama-3.1-70B-Instruct-Turbo is a general-purpose AI model provided by Together AI.
Input tokens are priced at $0.88 per 1M tokens.
Output tokens are priced at $0.88 per 1M 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.
Together AI offers Meta-Llama-3.1-70B-Instruct-Turbo 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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