Gemini Token Counter — Count Tokens & Estimate Google AI API Cost
Gemini Token Counter is a free, browser-based developer tool that estimates token counts for Google's Gemini 2.5, Gemini 3 and Gemini 3.1 Pro models and forecasts API costs in real time. Unlike word-based counters, it calibrates counts on Gemini's known tokenizer behavior and works entirely in your browser: no uploads, no API keys, no sign-up. It is one of 90+ models covered by TokenCalc, a free AI token calculator for developers.
→ Open the Gemini token counter — paste any prompt or document, get token counts and cost estimates for every Gemini model in seconds.
Gemini pricing (2026)
| Model | Token count | Input / 1M tokens | Output / 1M tokens | Context window |
|---|---|---|---|---|
| Gemini 3.1 Pro | estimate | $2.00 | $12.00 | 2M |
| Gemini 3.5 Flash | estimate | $1.50 | $9.00 | 1M |
| Gemini 3 Pro (preview) | estimate | $2.00 | $12.00 | 1M |
| Gemini 2.5 Pro / Flash | estimate | $1.25 / $0.30 | $10.00 / $2.50 | 1M |
Gemini token counter by the numbers
- 90+ LLM tokenizers supported in one free tool
- 2M token context window on Gemini 3.1 Pro
- 1.25 average tokens per English word
- $2.00 / $12.00 per 1M input / output tokens for Gemini 3.1 Pro
- 100% in-browser — your text never leaves the device
- 0 uploads, 0 API keys, 0 cost
How many tokens is a word in Gemini?
One English word averages ~1.25 tokens (roughly 4 characters per token). Gemini's tokenizer uses Byte-Pair-Encoding, so the exact ratio depends on your text:
- Common short words are often a single token.
- Long or technical words split into several tokens.
- Code and special characters tokenize more densely than prose.
- Chinese text runs ~0.6–1.2 tokens per character.
Why count Gemini tokens?
Google bills by tokens, and Gemini's context windows are huge — up to 2M tokens on 3.1 Pro. Counting accurately matters because:
- Context budgets — a 2M window still has a limit; a document that looks small in words can be surprisingly large in tokens.
- Cost control — output tokens on 3.1 Pro cost $12 per 1M, so long generations add up fast.
- Model comparison — the same text tokenizes differently between Gemini, GPT-5 and Claude; the cheapest model for a job isn't always obvious.
Gemini token counter — free and private
Our AI Token Calculator covers Gemini 2.5, Gemini 3 and Gemini 3.1 Pro with proven estimates, plus exact token counts for GPT-5, GPT-4o, o1, o3 (official tiktoken) and 90+ more models — all in your browser, no upload, no API key.
→ Open the Gemini token counter (free, private)
Gemini token FAQs
How many tokens does Gemini have per word?
About 1.25 tokens per English word, or ~4 characters per token. Always verify with a counter — the ratio varies with vocabulary and code content.
Is the Gemini token count exact?
Gemini counts are estimates calibrated on Google's tokenizer behavior. OpenAI model counts are exact (official tiktoken). Estimates are accurate enough for budgeting and cost forecasting.
Does the Gemini token counter upload my text?
No. Everything runs in your browser. Your text is never sent to any server.
What is a token in Gemini?
A token is the smallest unit of text Gemini's tokenizer processes — roughly one English word equals 1.25 tokens. Gemini 3.1 Pro's 2M context window is measured in tokens, so an accurate count tells you how much text fits in a prompt.
How does the Gemini token counter compare to Google's own tokenizer API?
Google's tokenizer is available via its API, but that requires sending text to Google. Our counter runs locally with a proven estimate — no network calls — and also covers 90+ other models in the same tool.