Exact counts, honest labels
Counts use the o200k tokenizer family — exact for OpenAI models and a close, clearly-labeled approximation for Claude, Gemini, Grok, Kimi, and DeepSeek, whose tokenizers are not public.
The prompt calculator counts tokens with a real BPE tokenizer that runs in your browser, then prices the same prompt across every audited model — per request and per month.
| Model | Per request | Per month | Context used |
|---|---|---|---|
| DeepSeek V4 FlashDeepSeek | $0.0002 | $1.07 | <0.1% of 1.05M |
| Llama 4 MaverickMeta | $0.0005 | $2.96 | <0.1% of 1M |
| DeepSeek V4 ProDeepSeek | $0.0006 | $3.31 | <0.1% of 1.05M |
| GPT-5.6 LunaOpenAI | $0.0007 | $4.40 | <0.1% of 1.05M |
| Mistral Large 3Mistral | $0.0009 | $5.60 | <0.1% of 262K |
| Gemini 3.5 Flash-LiteGoogle | $0.0015 | $9.12 | <0.1% of 1.05M |
| Gemini 3.6 FlashGoogle | $0.0023 | $13.81 | <0.1% of 1.05M |
| Gemini 3.7 FlashGoogle | $0.0023 | $13.81 | <0.1% of 1.05M |
Planning estimates from the PromptCostLab registry (re-verified Aug 16, 2026). Request-level fees, batch discounts, and regional surcharges are excluded; long-context tiers are applied automatically.
Counts use the o200k tokenizer family — exact for OpenAI models and a close, clearly-labeled approximation for Claude, Gemini, Grok, Kimi, and DeepSeek, whose tokenizers are not public.
The comparison table applies your prompt, output allowance, and daily volume to every model in the registry, including long-context tiers where they apply.
Your prompt never leaves the browser. The tokenizer loads as a static script; no text is sent to any server.
Count the prompt's tokens, add your expected output tokens, multiply each by the model's per-million prices, and multiply by your request volume. This calculator does all of it — across every major model at once.
For OpenAI models, yes — the browser runs the same o200k tokenizer family the models use. For Claude, Gemini, Grok, Kimi, and DeepSeek it is a close approximation, since those providers do not publish their tokenizers.
It depends on length and style: ordinary English runs about 4 characters or 0.75 words per token. Paste your prompt above for a real count instead of a rule of thumb.