AI Pricing Calculator – Compare API Costs

AI Model Pricing Calculator

Calculate and compare API costs for ChatGPT, Claude, Gemini, and other AI models

How This Calculator Works

This tool helps you estimate API costs for different AI models based on your projected usage. Enter your monthly token usage or requests, and we’ll calculate the costs for comparison.

Interactive Pricing Calculator

Step 1: Estimate Your Monthly Token Usage

Typical usage examples:

  • Light User: 100K tokens/month (occasional use)
  • Regular User: 1M tokens/month (daily use)
  • Power User: 10M tokens/month (heavy daily use)
  • Enterprise: 100M+ tokens/month (production applications)

tokens

Adjust the slider or type in a value. 1 token ≈ 4 characters.

requests

Average tokens per request helps calculate total tokens.

Step 2: Review Your Estimated Costs

Calculating…

Enter your usage above to see estimates

Important Notes

  • Prices are approximate and based on November 2025 rates
  • Actual costs may vary based on your specific usage patterns
  • Some providers offer discounts for high-volume usage
  • Prices may change – check official provider websites for current rates
  • Consider request count limits and rate limiting in your plans

AI Model Pricing Details

ChatGPT (OpenAI)

GPT-4 Turbo:

  • Input: $0.01 per 1K tokens
  • Output: $0.03 per 1K tokens

GPT-3.5 Turbo:

  • Input: $0.50 per 1M tokens
  • Output: $1.50 per 1M tokens

Claude (Anthropic)

Claude 3 Opus:

  • Input: $0.015 per 1K tokens
  • Output: $0.075 per 1K tokens

Claude 3 Sonnet:

  • Input: $0.003 per 1K tokens
  • Output: $0.015 per 1K tokens

Gemini (Google)

Gemini 1.5 Pro:

  • Input: $0.0075 per 1K tokens
  • Output: $0.03 per 1K tokens

Gemini 1.5 Flash:

  • Input: $0.075 per 1M tokens
  • Output: $0.30 per 1M tokens

Other Providers

Mistral Small:

  • Input: $0.14 per 1M tokens
  • Output: $0.42 per 1M tokens

Llama 2 (Meta):

  • Free / Self-hosted option
  • AWS: Variable pricing

Cost Estimation Examples

Scenario 1: Light User

100K tokens/month

  • ChatGPT 4: ~$2-4
  • Claude 3 Sonnet: ~$0.50
  • Gemini Pro: ~$1

Great for: Hobby projects, learning, low-volume applications

Scenario 2: Regular User

1M tokens/month

  • ChatGPT 4: ~$40-60
  • Claude 3 Sonnet: ~$5-10
  • Gemini Pro: ~$10-15

Great for: Small business apps, moderate usage

Scenario 3: Power User

10M tokens/month

  • ChatGPT 4: ~$400-600
  • Claude 3 Sonnet: ~$50-100
  • Gemini Pro: ~$100-150

Great for: Production applications, high-volume APIs

Cost Optimization Strategies

Use Cheaper Models for Simple Tasks

  • Use GPT-3.5 or Gemini Flash for basic tasks
  • Reserve GPT-4 for complex reasoning
  • Try Claude Haiku for speed over cost
  • Estimated savings: 50-80%

Batch Processing

  • Process multiple requests together
  • Reduce overhead per request
  • Many providers offer batch discounts
  • Estimated savings: 20-40%

Caching & Local Models

  • Cache frequent responses
  • Use self-hosted models for high volume
  • Implement fallback to cheaper alternatives
  • Estimated savings: 30-60%

Volume Discounts

  • Negotiate with providers at scale
  • OpenAI: Volume discounts available
  • Anthropic: Custom pricing for enterprise
  • Estimated savings: 10-30%

Comparison: Monthly Costs at Different Scales

Monthly UsageGPT-4Claude OpusGemini ProCheapest Option
100K tokens$2-4$1.50$1Gemini: $1
1M tokens$40-60$15-20$10-15Gemini: $12
10M tokens$400-600$150-200$100-150Gemini: $120
100M tokens$4,000-6,000$1,500-2,000$1,000-1,500Negotiate rates

Frequently Asked Questions

What is a token?

A token is roughly 4 characters of text. For example, the word “hello” = 1 token, and a typical paragraph = 100-200 tokens. Different models may tokenize slightly differently.

How accurate is this calculator?

This calculator provides estimates based on average token counts and current pricing. Actual costs depend on your specific prompts, response lengths, and any applicable discounts. Use these estimates as a guide, not exact figures.

Should I use API or the web interface?

Use the API for programmatic access and cost tracking. Web interfaces (ChatGPT Plus) offer simpler pricing but less control. APIs are better for high-volume and production use cases.

Can I reduce costs further?

Yes! Use cheaper models for simple tasks, cache responses, batch requests, negotiate volume discounts, or self-host open-source models like Llama 2. Multi-model strategies often yield the best cost-benefit.

Ready to Choose Your AI Model?

Use our AI Model Comparison guide to choose the right model for your use case, then use this calculator to estimate costs.

// Simple calculator logic (inline JavaScript)
document.addEventListener(‘DOMContentLoaded’, function() {
const tokensInput = document.getElementById(‘monthly-tokens’);
const requestsInput = document.getElementById(‘monthly-requests’);
const resultsDiv = document.getElementById(‘pricing-results’);

function calculatePricing() {
const monthlyTokens = parseInt(tokensInput.value) || 0;
const monthlyRequests = parseInt(requestsInput.value) || 0;

// Estimate average tokens per request (for calculation)
const avgTokensPerRequest = monthlyRequests > 0 ? monthlyTokens / monthlyRequests : 100;

// Pricing rates (per 1K tokens)
const models = [
{
name: ‘ChatGPT-4 Turbo’,
input: 0.01,
output: 0.03,
avgRatio: 0.4 // Assume 40% of tokens are input
},
{
name: ‘ChatGPT-3.5 Turbo’,
input: 0.0005,
output: 0.0015,
avgRatio: 0.4
},
{
name: ‘Claude 3 Opus’,
input: 0.015,
output: 0.075,
avgRatio: 0.3
},
{
name: ‘Claude 3 Sonnet’,
input: 0.003,
output: 0.015,
avgRatio: 0.3
},
{
name: ‘Gemini 1.5 Pro’,
input: 0.0075,
output: 0.03,
avgRatio: 0.35
},
{
name: ‘Gemini 1.5 Flash’,
input: 0.000075,
output: 0.0003,
avgRatio: 0.35
}
];

let html = ”;
let cheapest = null;
let cheapestCost = Infinity;

models.forEach(model => {
const inputTokens = monthlyTokens * model.avgRatio;
const outputTokens = monthlyTokens * (1 – model.avgRatio);

const inputCost = (inputTokens / 1000) * model.input;
const outputCost = (outputTokens / 1000) * model.output;
const totalCost = inputCost + outputCost;

if (totalCost 0) {
cheapestCost = totalCost;
cheapest = model.name;
}

const isLowest = totalCost === cheapestCost;
const bgColor = isLowest ? ‘#e8f5e9’ : ‘white’;
const borderColor = isLowest ? ‘#27ae60’ : ‘#ddd’;

html += ‘

‘;
html += ‘

‘ + model.name + ‘

‘;
html += ‘

‘;
html += ‘

Input Cost: $’ + inputCost.toFixed(2) + ‘

‘;
html += ‘

Output Cost: $’ + outputCost.toFixed(2) + ‘

‘;
html += ‘

‘;
html += ‘

Monthly: $’ + totalCost.toFixed(2) + ‘

‘;
if (isLowest) {
html += ‘

✓ Lowest Cost

‘;
}
html += ‘

‘;
});

resultsDiv.innerHTML = html;
}

tokensInput.addEventListener(‘input’, calculatePricing);
requestsInput.addEventListener(‘input’, calculatePricing);

// Initial calculation
calculatePricing();
});

input[type=”number”] {
font-family: ‘Arial’, sans-serif;
}

@media (max-width: 768px) {
.pricing-grid {
grid-template-columns: 1fr !important;
}

table {
font-size: 12px;
}

table th,
table td {
padding: 8px !important;
}
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