tool / ai
Paste any text to instantly count tokens and estimate API costs across GPT-4o, Claude 3.5, Gemini, and more. Uses a cl100k_base approximation — no API calls, no data leaves your browser.
← Back to toolsBased on ~0 input tokens and ~0 output tokens. Prices from public provider pages (may vary).
| Model | Provider | Input cost | Output cost | Total |
|---|---|---|---|---|
| GPT-4o | OpenAI | $0.0000 | $0.0000 | $0.0000 |
| GPT-4o mini | OpenAI | $0.0000 | $0.0000 | $0.0000 |
| Claude 3.5 Sonnet | Anthropic | $0.0000 | $0.0000 | $0.0000 |
| Claude 3 Haiku | Anthropic | $0.0000 | $0.0000 | $0.0000 |
| Gemini 1.5 Pro | $0.0000 | $0.0000 | $0.0000 | |
| Gemini 2.0 Flash | $0.0000 | $0.0000 | $0.0000 |
Language models don't read text character by character — they process tokens, which are chunks of text roughly 4 characters long for English. A word like "hello" is 1 token; "unbelievable" might be 3–4 tokens.
LLM APIs charge per token — for both input (your prompt + context) and output (the response). Knowing your token count helps you optimize prompts, choose the right model, and predict costs before running large batches.
This tool uses a regex-based approximation of cl100k_base encoding. Results are typically within 5–10% of the actual count. For exact counts, use the official tiktoken library or the provider's tokenizer API.
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HunterMussel designs production AI pipelines with intelligent caching, context compression, and model routing strategies — so you ship faster and spend less on API costs.
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