grok-4 Cost Calculator - Replicate

Calculate the cost of using grok-4 from Replicate for your AI applications

grok-4 Cost Calculator

Mode: Chat

Input Tokens

Output Tokens

Cost Breakdown

Input Cost$0.007200

Output Cost$0.036000

Total Cost$0.043200

Pricing Details

Input: $0.00000720 per token

Output: $0.00003600 per token

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About grok-4

grok-4 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 grok-4 in your applications.

Pricing Information

Input Cost$7.20 per 1M tokens

Output Cost$36.00 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

✓System Messages - Configure model behavior

When should you use grok-4?

grok-4 is best suited for the following scenarios:

Agentic systems with function or tool calling
Workflow automation and API orchestration

When should you avoid grok-4?

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
Very large documents or long conversational histories

How does grok-4 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 grok-4 pricing

grok-4 is a general-purpose AI model provided by Replicate.
Input tokens are priced at $7.20 per 1M tokens.
Output tokens are priced at $36.00 per 1M 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.
Replicate offers grok-4 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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