LLM Calculators

AI API Cost Estimator

Input your usage pattern. See monthly costs across every major model.

Estimate your monthly and annual AI API spending based on your expected request volume and token usage. Compare costs across GPT-5.4, Claude Opus 4.6, Gemini 3.1 Pro, and more. Toggle cached and batch pricing to see potential savings.

Usage Parameters

1K
1K
500

Select Models to Compare

Switching from Claude Opus 4.6 to GPT-5 mini saves $487.50/month

Monthly Cost

Cost Breakdown

ModelProviderDailyMonthlyAnnual
GPT-5.4OpenAI$10.00$300.00$3,650.00
Claude Opus 4.6Anthropic$17.50$525.00$6,387.50
Gemini 3.1 ProGoogle$8.00$240.00$2,920.00
GPT-5 miniCheapestOpenAI$1.25$37.50$456.25

How to Estimate Your AI API Costs

Start with your expected daily request volume. Then estimate the average input and output tokens per request. A typical chatbot request uses 500-2,000 input tokens and 200-800 output tokens. A content generation task might use 500 input tokens but 2,000-4,000 output tokens. The estimator multiplies these values across all models to show your projected daily, monthly, and annual costs.

Frequently Asked Questions

How much does it cost to run a chatbot on GPT-5.4?
A chatbot handling 1,000 conversations per day with an average of 1,500 input tokens and 500 output tokens per request would cost approximately $7.00 per day or $210 per month on GPT-5.4. With cached input pricing, this drops to approximately $2.75 per day.
What is the cheapest way to run an AI API at scale?
For high-volume workloads, the cheapest options are GPT-5 nano ($0.05/$0.40 per million tokens), Gemini 2.0 Flash Lite ($0.08/$0.30), and Mistral Small ($0.10/$0.30). Combine with batch processing for an additional 50% discount.

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Cost projections are estimates based on current published API pricing. Actual costs may vary based on caching effectiveness and provider-specific billing rules.