AI Token Cost Calculator
Estimate your AI API costs before you spend. Compare GPT, Claude, and Gemini pricing in seconds.
$2.5/1M input tokens · $10/1M output tokens · Context: 128,000 tokens
Used to project your monthly cost (assumes 30 days).
Input Cost
$0.0025
Output Cost
$0.0050
Total Cost / Request
$0.0075
Projected Monthly Cost
Based on your requests/day input
$22.50
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 1.5 FlashCheapest | $0.0001 | $0.0002 | $0.0002 | 1,000,000 | |
| GPT-4o mini | OpenAI | $0.0002 | $0.0003 | $0.0005 | 128,000 |
| Claude Haiku | Anthropic | $0.0008 | $0.0020 | $0.0028 | 200,000 |
| Gemini 1.5 Pro | $0.0013 | $0.0025 | $0.0038 | 1,000,000 | |
| GPT-4o | OpenAI | $0.0025 | $0.0050 | $0.0075 | 128,000 |
| Claude Sonnet | Anthropic | $0.0030 | $0.0075 | $0.0105 | 200,000 |
| Claude Opus | Anthropic | $0.0150 | $0.0375 | $0.0525 | 200,000 |
Token Cost Calculator
AI API bills rarely surprise you when you plan for them — they surprise you when you don't. Before you ship a feature that calls an LLM on every user request, it pays to know what that request actually costs, and what it adds up to at 1,000 or 100,000 users a month. Growfiy's Token Cost Calculator turns your prompt into a real cost estimate across OpenAI, Claude, Gemini, DeepSeek, Llama, and Mistral, so you can budget with numbers instead of guesswork.
It's built for founders sizing up a monthly AI budget, developers comparing models before an integration, and teams trying to figure out where their spend is actually going.
How Your Cost Is Calculated
Most LLM providers bill input and output tokens at different rates, so a single "cost per token" number is misleading. The calculator applies the correct rate to each side of the request:
For a chat feature, output tokens usually cost more per unit than input tokens — which is why a short prompt with a long response can cost more than a long prompt with a short answer. Comparing this ratio across providers is often more useful than comparing sticker price alone.
Who Uses This — and Why
- Founders budgeting a new AI feature: estimate cost-per-user before deciding whether a feature is financially viable at scale, not after the first invoice.
- Developers choosing between models: compare a flagship model against a smaller one for the same task to see if the accuracy gain is worth the cost gap.
- Teams auditing existing AI spend: reverse-check whether current usage patterns — long system prompts, verbose outputs, redundant context — are quietly inflating monthly bills.
- Students and researchers: understand how pricing structures differ across providers before running large-scale experiments or fine-tuning workflows.
Practical Ways to Lower Your Token Cost
- Cache and reuse system prompts instead of resending them with every request.
- Set a max_tokens/output cap so responses don't run longer than necessary.
- Route simple, low-stakes queries to a smaller or cheaper model and reserve flagship models for complex tasks.
- Strip unused context, boilerplate, or repeated instructions from prompts before sending them.
- Batch similar requests where the provider supports it, rather than sending many small calls.
Frequently Asked Questions
How do I calculate the cost of my AI API usage in advance?
Multiply your estimated token count by the provider's per-token rate for both input and output separately, since most models charge differently for prompt tokens versus completion tokens. Growfiy's calculator automates this so you get an instant per-request cost estimate.
Why does the same prompt cost differently across providers?
Each provider prices input and output tokens separately, and rates vary by model tier. A cheaper model may also use a different tokenizer, so the same sentence can produce a different token count and, therefore, a different cost across OpenAI, Claude, Gemini, DeepSeek, Llama, and Mistral.
How do I estimate monthly AI costs for a live product?
Take your average cost per request, multiply it by expected daily requests, then by 30. Add a buffer of 20-30% for usage spikes, retries, and longer-than-average responses before setting your monthly budget.
What's the easiest way to reduce token costs?
Trim unnecessary context from prompts, cache repeated system instructions, cap max output tokens where possible, and route simpler queries to smaller, cheaper models instead of sending every request to a flagship model.
Does this tool account for both input and output token pricing?
Yes. Since input (prompt) and output (completion) tokens are billed at different rates on most platforms, the calculator lets you estimate both separately for a realistic total cost per request.
Is this calculator suitable for estimating a startup's AI budget?
Yes, it's built for exactly that — founders and teams can model cost-per-user or cost-per-feature before committing to a provider, which is especially useful when deciding between a cheaper model and a premium one at scale.