Token Cost Calculator
Calculate API costs for different AI models. Compare prices and find the most cost-effective option.
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OpenAI's most advanced multimodal model
Total Cost
$0.00e+0
Model Pricing (per 1M tokens):
Understanding API Costs
AI API costs are typically charged per 1,000 tokens (or per 1M tokens for some providers). Input tokens (your prompt) and output tokens (the AI's response) are often priced differently. Understanding these costs helps you optimize your applications and choose the right model for your budget.
Cost Optimization Tips
- •Use smaller models for simple tasks
- •Limit response length with max_tokens parameter
- •Cache responses for repeated queries
- •Compare prices across providers regularly
Frequently Asked Questions
How are AI API costs calculated?
AI API costs are calculated based on the number of tokens processed. You're charged for both input tokens (your prompt) and output tokens (the AI's response). Different models have different pricing, with more powerful models typically costing more per token.
What's the difference between input and output tokens?
Input tokens are the tokens from your prompt or message that you send to the AI. Output tokens are the tokens in the AI's response. Most providers charge different rates for input and output, with output often being more expensive because generating text requires more computation.
Which AI model is the most cost-effective?
The most cost-effective model depends on your use case. For simple tasks, smaller models like GPT-3.5 Turbo or Claude 3 Haiku are very affordable. For complex reasoning, larger models may be more cost-effective despite higher per-token costs because they require fewer attempts to get the right answer.
Are the prices shown up-to-date?
We strive to keep our pricing data current, but AI providers frequently update their pricing. Always check the official provider documentation for the most accurate and up-to-date pricing information before making decisions.