AI Pricing Calculator
Compare AI API pricing across GPT-5.4, Claude 4.6, Gemini 2.5, Llama 4, and Mistral. See cost breakdowns per request, daily, and monthly.
About AI Pricing Calculator
This AI pricing calculator helps you estimate and compare costs across major language model APIs. Enter your expected usage - input tokens, output tokens, and request volume - and instantly see what each model would cost per request, per day, and per month.
How AI API Pricing Works
AI providers charge per token processed, with separate rates for input and output. Input tokens cover the prompt you send, while output tokens cover the model's response. Costs scale linearly with volume, so a request with 2,000 input tokens costs exactly twice as much as one with 1,000. The calculator multiplies token costs by your daily request volume and projects monthly totals at 30 days.
Models Included
The comparison covers 11 models from five providers: OpenAI (GPT-4o, GPT-4o Mini, GPT-4 Turbo), Anthropic (Claude 3.5 Sonnet, Claude 3.5 Haiku, Claude 3 Opus), Google (Gemini 1.5 Pro, Gemini 1.5 Flash), Meta via Groq (Llama 3.1 70B, Llama 3.1 8B), and Mistral (Mistral Large). Results are sorted from cheapest to most expensive so you can quickly spot the best value.
Choosing the Right Model
Cost is only one factor. Smaller models are cheaper but may not handle complex reasoning or nuanced tasks well. The visual bar chart makes it easy to see the spread - sometimes the cheapest option is 100x less than the most expensive. If you are building a product, you might use a smaller model for most requests and route only the hard ones to a premium model.
Estimating Your Usage
If you are unsure about your numbers, start with the built-in presets: Light (100 requests/day), Medium (1,000/day), or Heavy (10,000/day). For a more detailed cost-benefit analysis of your AI spending, the ROI calculator can help you measure the return. If you are budgeting for a startup, the startup runway calculator can factor API costs into your burn rate.
All calculations run entirely in your browser. No usage data is transmitted or stored.
Frequently Asked Questions
How are AI API costs calculated?
AI APIs charge based on tokens processed. A token is roughly 3/4 of a word in English. You pay separately for input tokens (what you send to the model) and output tokens (what it generates). The cost per request is the sum of (input tokens / 1M * input rate) + (output tokens / 1M * output rate). Multiply by requests per day and days per month for ongoing costs.
Why do prices vary so much between models?
Larger, more capable models cost more to run because they require more compute. A frontier model like Claude 3 Opus or GPT-4 Turbo offers stronger reasoning but at a premium. Smaller models like GPT-4o Mini or Gemini 1.5 Flash are optimized for speed and cost, making them ideal for high-volume tasks that do not need top-tier reasoning.
What counts as a token?
A token is a chunk of text that the model processes. In English, one token is roughly 3 to 4 characters or about 0.75 words. Code, non-English text, and structured data like JSON tend to use more tokens per word. Most providers offer a tokenizer tool so you can check exact counts for your specific inputs.
Do these prices include volume discounts or cached tokens?
The prices shown are standard published API rates. Many providers offer lower rates for batched requests, prompt caching, and committed-use plans. For example, OpenAI offers up to 50% off with batch processing, and Anthropic offers reduced rates for cached prompt prefixes. Check each provider's pricing page for the latest discount tiers.
Which model should I choose for my use case?
It depends on your needs. For high-volume simple tasks like classification or extraction, small models like GPT-4o Mini or Llama 3.1 8B keep costs low. For complex reasoning, coding, or nuanced writing, mid-tier models like GPT-4o or Claude 3.5 Sonnet offer a good balance. Only reach for premium models like Claude 3 Opus when you truly need their extra capability.