Token counter
Count tokens in any prompt or document right in your browser. Nothing is uploaded. Useful for checking prompt size before you hit a model context limit.
Token count uses the exact GPT (o200k) tokenizer. Counted in your browser, never uploaded.
| Model | Tokens | Per request | Monthly | Context |
|---|---|---|---|---|
| Qwen3.8 Max | 0 est. | $0.003 | $3.00 | 0.1% |
| DeepSeek V4 Flashcheapest | 0 est. | $0.00014 | $0.14 | 0.1% |
| Claude Opus 5 | 0 est. | $0.013 | $12.50 | 0.1% |
Token counts vary by tokenizer and model; non-OpenAI counts are estimates. Cost is an estimate and provider pricing can change. See each model's source on the pricing page.
Why count tokens?
Token count decides three things: whether your prompt fits the model context window, how much the request costs, and how fast it responds. Counting before you send avoids truncated context, surprise bills and failed requests, which is why a token counter is a routine step for prompt engineers and anyone shipping on an API.
Token counts for different content types
Plain English prose averages about 1.33 tokens per word. Code is denser — indentation, brackets and long variable names add tokens quickly. JSON and XML are expensive because of repeated structural characters. Non-English languages like Chinese or Arabic often use more tokens per word than English, since the tokenizer was trained primarily on English text.
FAQ
Is my text sent to a server?
No. All counting happens in your browser. Pasted text never leaves your device.
Can it count tokens for long documents?
Yes. Paste text of any length; the counter handles large documents and reports the total, with a token visualization for the first few thousand tokens.
Why does the token count differ from my word count?
Words and tokens are not the same unit. A single long word can be split into multiple tokens, while short common words are usually one token each. Punctuation and spaces also count as tokens.
Which models show exact counts vs estimates?
GPT-3.5 and GPT-4 family models (OpenAI) show exact counts using the real tokenizer. All other providers — Claude, Gemini, Mistral, etc. — show clearly labeled estimates based on the standard ~4 characters per token approximation.
Current model pricing
| Model | Provider | Input | Cached | Output | Context | Verified |
|---|---|---|---|---|---|---|
| Qwen3.8 Max | Alibaba | $2 | $0.25 | $6 | 1 000k | 2026-08-03 |
| Claude Haiku 4.5 (latest) | Anthropic | $1 | $0.1 | $5 | 200k | 2025-10-15 |
| Claude Opus 4.8 | Anthropic | $5 | $0.5 | $25 | 1 000k | 2026-05-28 |
| Claude Sonnet 4.6 | Anthropic | $3 | $0.3 | $15 | 1 000k | 2026-03-13 |
| DeepSeek Chat | DeepSeek | $0.14 | $0.0028 | $0.28 | 1 000k | 2026-02-28 |
| Gemini 2.5 Flash | $0.3 | $0.03 | $2.5 | 1 048,576k | 2025-06-17 | |
| Gemini 3.5 Flash | $1.5 | $0.15 | $9 | 1 048,576k | 2026-05-19 | |
| Mistral Medium (latest) | Mistral | $1.5 | n/a | $7.5 | 262,144k | 2026-04-29 |
| Kimi K3 | Moonshot AI | $3 | $0.3 | $15 | 1 048,576k | 2026-07-16 |
| GPT-4.1 mini | OpenAI | $0.4 | $0.1 | $1.6 | 1 047,576k | 2025-04-14 |
| GPT-4o | OpenAI | $2.5 | $1.25 | $10 | 128k | 2024-08-06 |
| GPT-5.5 | OpenAI | $5 | $0.5 | $30 | 1 050k | 2026-04-23 |
| Grok 4.5 | xAI | $2 | $0.3 | $6 | 500k | 2026-07-08 |
| GLM-5.2 | Zhipu AI | $1.4 | $0.26 | $4.4 | 1 000k | 2026-06-13 |
Prices per 1M tokens (USD). Each model links to its official source. Seed values pending re-verification. See the methodology.