o1 Cost Calculator - Replicate

Calculate the cost of using o1 from Replicate for your AI applications

o1 Cost Calculator

Mode: Chat

Input Tokens

Output Tokens

Cost Breakdown

Input Cost$0.015000

Output Cost$0.060000

Total Cost$0.075000

Pricing Details

Input: $0.00001500 per token

Output: $0.00006000 per token

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About o1

o1 is a powerful chat AI model offered by Replicate. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using o1 in your applications.

Pricing Information

Input Cost$15.00 per 1M tokens

Output Cost$60.00 per 1M tokens

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

Model Capabilities

✓Advanced Reasoning - Complex problem-solving capabilities

✓System Messages - Configure model behavior

When should you use o1?

o1 is best suited for the following scenarios:

Complex problem-solving and multi-step reasoning tasks
Planning and strategic decision-making applications

When should you avoid o1?

High-volume text generation where output cost dominates
Streaming or verbose response workloads
Applications requiring image, audio, or multimodal inputs
Very large documents or long conversational histories

How does o1 compare to similar models?

This model sits in the middle of its category in terms of pricing and capabilities, making it a balanced option for general workloads.

Understanding o1 pricing

o1 is a general-purpose AI model provided by Replicate.
Input tokens are priced at $15.00 per 1M tokens.
Output tokens are priced at $60.00 per 1M tokens.
For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
Features advanced reasoning capabilities for complex problem-solving tasks.
Replicate offers o1 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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