LLM Token & Cost Calculator
Estimate token counts and compare what a prompt costs across Claude, GPT, and Gemini — per call and across thousands of calls.
≈ 0 input tokens
| Model | Per call | 1,000 calls |
|---|---|---|
| Claude Opus 4.x | $0 | $0 |
| Claude Sonnet | $0 | $0 |
| Claude Haiku | $0 | $0 |
| GPT-4o | $0 | $0 |
| GPT-4o mini | $0 | $0 |
| Gemini 1.5 Pro | $0 | $0 |
| Gemini 1.5 Flash | $0 | $0 |
Token counts use a ~4-characters-per-token estimate; real tokenizers vary by model. Prices are indicative published rates and change over time — verify with the provider before budgeting.
Frequently asked questions
How accurate is the token estimate?+
It uses a ~4-characters-per-token heuristic, which is close for English prose. Real tokenizers differ per model and for code or other languages, so treat it as an estimate.
Are the prices current?+
They're indicative published per-million-token rates and change over time. Always confirm with the provider before budgeting a real project.
Can I estimate cost at scale?+
Yes — enter your number of calls and the table shows the total cost per model, so you can compare options for a production workload.
Building on LLMs?
We build production AI features — agents, RAG, automation — cost-optimized and reliable. Tell us what you're building.
Prefer to chat? Contact us