AI Token Cost Calculator
Estimate your GPT, Claude, and Gemini API costs before you spend a single dollar — paste your prompt, pick a model, and see the real price.
$5/1M input tokens · $30/1M output tokens · Context: 1,048,576 tokens
Used to project your monthly cost (assumes 30 days).
Input Cost
$0.0050
Output Cost
$0.0150
Total Cost / Request
$0.0200
Projected Monthly Cost
Based on your requests/day input
$60.00
Compare All Models
Cost for the same 1,000 input / 500 output tokens, cheapest first.
| Model | Provider | Input Cost | Output Cost | Total Cost | Context Window |
|---|---|---|---|---|---|
| Gemini 2.5 Flash-Lite (legacy)Cheapest | $0.0001 | $0.0002 | $0.0003 | 1,000,000 | |
| GPT-4o mini | OpenAI | $0.0002 | $0.0003 | $0.0005 | 128,000 |
| GPT-5.6 Luna | OpenAI | $0.0002 | $0.0006 | $0.0008 | 1,048,576 |
| Gemini 3.5 Flash-Lite | $0.0003 | $0.0013 | $0.0016 | 1,048,576 | |
| Claude Haiku (legacy) | Anthropic | $0.0008 | $0.0020 | $0.0028 | 200,000 |
| Claude Haiku 4.5 | Anthropic | $0.0010 | $0.0025 | $0.0035 | 200,000 |
| GPT-5.2 | OpenAI | $0.0009 | $0.0035 | $0.0044 | 400,000 |
| Gemini 3.6 Flash | $0.0015 | $0.0038 | $0.0052 | 1,048,576 | |
| Claude Sonnet 5 | Anthropic | $0.0020 | $0.0050 | $0.0070 | 1,000,000 |
| GPT-4o | OpenAI | $0.0025 | $0.0050 | $0.0075 | 128,000 |
| GPT-5.6 Terra | OpenAI | $0.0020 | $0.0060 | $0.0080 | 1,048,576 |
| Gemini 3.1 Pro | $0.0020 | $0.0060 | $0.0080 | 1,048,576 | |
| Claude Sonnet (legacy 4.6) | Anthropic | $0.0030 | $0.0075 | $0.0105 | 200,000 |
| Claude Opus 5 | Anthropic | $0.0050 | $0.0125 | $0.0175 | 1,000,000 |
| GPT-5.6 Sol | OpenAI | $0.0050 | $0.0150 | $0.0200 | 1,048,576 |
| Claude Fable 5 | Anthropic | $0.0100 | $0.0250 | $0.0350 | 1,000,000 |
| Claude Opus (legacy) | Anthropic | $0.0150 | $0.0375 | $0.0525 | 200,000 |
AI APIs are billed by token, not by request or by word, which makes real costs easy to underestimate — especially once output length, system prompts, and daily request volume are factored in. This AI token cost calculator estimates what a given prompt will actually cost across the major providers, so you can compare GPT, Claude, and Gemini pricing side by side and catch an expensive model choice before it shows up on your bill.
How the estimate is calculated
We count tokens the way providers bill them
Your text is split using each model's own tokenizer, not a word-count guess. That's the same unit OpenAI, Anthropic, and Google use to generate your invoice, so the number you see here is the number that shows up on your bill.
Input and output are priced separately
Every major provider charges more for what the model generates than for what you send it — often 3 to 5 times more. We apply each model's current published input and output rate to your exact token counts, not a blended average.
You get a real monthly number
Add your expected requests per day and the calculator projects a monthly spend, so you can catch an expensive model choice before it's baked into your product — not after the first invoice.
What actually moves your AI API bill
The headline per-token rate is only half the story. These two factors explain most of the gap between what people expect to pay and what they actually get billed.
Output length is usually the bigger lever
A short prompt with a long, detailed response often costs more than a long prompt with a one-line answer. If your bill is higher than expected, check output length before you blame input size.
Cached and repeated context costs less
If your app resends the same system prompt or reference document on every call, prompt caching can cut that portion of the input cost by 80–90% on providers that support it. This calculator estimates standard rates; check your provider's caching pricing separately.
AI API pricing changes frequently as providers release new models and adjust rates. We update this page as new pricing is announced, but for production budgeting, always cross-check against the provider's official pricing page linked from the model selector above.
Frequently Asked Questions
How accurate is this AI token calculator?
Token counts come from each provider's own tokenizer logic, so they closely match what you'd see on your actual API bill. Pricing reflects each provider's publicly listed rates at the time of writing — always confirm against the provider's official pricing page before a large-scale deployment, since rates change and providers sometimes offer volume, cached-input, or batch discounts this calculator doesn't model.
Why do GPT, Claude, and Gemini charge different prices for input vs. output tokens?
Generating text costs more compute than reading it, so every major provider prices output tokens higher than input tokens — commonly 3 to 5 times more. A short prompt that triggers a long, detailed answer can end up costing more than the input token count alone would suggest.
What's a token, in plain terms?
A token is a chunk of text — often a word or part of a word — that a model processes as one billing unit. English text averages roughly 4 characters per token, but this varies by language and content type, which is why an exact tokenizer count is more reliable than a rough word-count estimate.
Which AI model is cheapest for high-volume use?
It depends on your workload, but as a rule of thumb: lighter, faster models built for high-volume tasks (classification, extraction, routing, simple chat) are priced far below flagship reasoning models. Route the bulk of your traffic to a cheaper model and reserve the expensive flagship for tasks that genuinely need it — this single change is usually the biggest lever on your bill.
Does this calculator send my text anywhere?
No. Tokenization and cost calculation run entirely in your browser — your text isn't uploaded, logged, or stored.
Why do costs here look different from what I'm seeing in my provider dashboard?
Differences usually come from cached-input pricing, batch API discounts, system prompts or tool-call overhead not included in your test input, or a rate change on the provider's end since this page was last updated. Use this calculator for quick estimates and planning, and your provider's billing dashboard for exact spend.
How It Works
Growfiy's Token Calculator uses tokenizer logic modeled on each provider's official tokenization rules to convert your text into an accurate token count, then applies current published pricing to estimate your API cost.
- Your input text is parsed and split into tokens the same way the selected AI model would process it.
- The tool counts prompt tokens and, if you provide expected output length, estimates completion tokens separately.
- Token counts are multiplied by the model's per-token pricing to show you an estimated cost per request.
- You can switch between models to instantly compare cost and token-efficiency side by side.
How to Use the Token Calculator
- Step 1: Paste or type your prompt into the input box above.
- Step 2: Select the AI model you plan to use — GPT-4, Claude, Gemini, DeepSeek, Llama, or Mistral.
- Step 3: (Optional) Add your expected response length to include completion tokens in the estimate.
- Step 4: View the estimated token count and approximate API cost instantly, updated as you type.
- Step 5: Compare across models to find the most cost-efficient option for your use case.
Frequently Asked Questions
What is an AI token calculator?
An AI token calculator estimates how many tokens a piece of text will consume when sent to a large language model like GPT, Claude, or Gemini. Since most AI providers charge per token, it also converts that count into an approximate API cost.
How are tokens different from words?
A token is not the same as a word. On average, 1 token is roughly 4 characters or about 0.75 words in English. So 100 words usually translate to around 130–140 tokens, though this varies by model and language.
Is Growfiy's token calculator free to use?
Yes, the tool is completely free with no signup required. You can estimate token usage and costs for OpenAI, Claude, Gemini, DeepSeek, Llama, Mistral, and other supported models as often as you like.
Does the calculator give exact token counts?
The calculator provides a close estimate based on each model's tokenizer rules. Actual token counts can vary slightly depending on formatting, special characters, and the specific model version used at the time of your API call.
Which AI models does this calculator support?
It covers major LLM providers including OpenAI (GPT models), Anthropic Claude, Google Gemini, DeepSeek, Meta Llama, and Mistral, so you can compare token usage and cost across providers before choosing one for your project.
Why do I need to estimate token usage before building with an LLM?
Estimating tokens upfront helps you budget API costs, choose the right model for your use case, and avoid surprise bills — especially useful when you're prototyping prompts or scaling an AI feature in production.