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Azure AI Token Cost Calculator & Estimator | OpenAI & Foundry Models

Planning your budget for an AI project? Our Azure AI Token Cost Estimator is a free, interactive tool designed to help developers, project managers, and businesses accurately forecast their monthly expenses. Easily compare pricing across a wide range of models from Azure OpenAI and AI Foundry, including GPT-5, Cohere Command R+, and Mistral Large. The calculator goes beyond simple token counts by factoring in advanced options like input-caching, provisioned throughput discounts, and batch processing rates, giving you a more realistic and comprehensive cost projection for your specific usage scenarios. Modern Azure AI Token Cost Estimator

Azure AI Token Cost Estimator

Estimate costs for Azure OpenAI & Foundry models with support for input-caching, provisioned-throughput, and batch discounts.

1. Model & Pricing

USD per 1M tokens
Select a model to pre-fill pricing data. All fields remain editable.
The cost for tokens sent to the model (your prompt).
The discounted cost for cached input tokens on a cache hit.
The cost for tokens generated by the model (the response).
Automatically calculate the cached price as a percentage of the input price. Overrides the field above.

2. Usage Profile

The total number of API calls you expect to make in a month.
The average number of tokens in your prompts.
The portion of your prompt (from the start) that is identical across many requests (e.g., a system prompt).
The percentage of requests where the cacheable prefix is successfully reused.
The average number of tokens in the model's responses.

3. Options

A custom name for this calculation, which appears in the results.
Apply a percentage discount if using a batch or async API that offers lower pricing.
Enter a currency exchange rate to see the total cost in a different currency.
Simulates using provisioned throughput, which can offer up to a 100% discount on cached input tokens.

4. Results

Computed live

Total Estimated Monthly Cost

$0.00
 
Non-cached input cost:
Cached input cost:
Output cost:

Total Input Tokens

Cached Input Tokens

Total Output Tokens

Avg Cost / Request

Effective Prices (In / Cached / Out)

Scenario

Actions

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