Gemini Token Counter
Estimate Gemini tokens for 3.1 Pro, 3.8 Flash and 2.5 Flash prompts, check the 1M context window, and see Google AI API cost per request and per month — in your browser.
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Gemini tokens (est.)
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Input cost, cheapest model
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Words
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Characters
Loading tokenizer (≈2 MB, once)…
Each coloured block is one GPT token (o200k). Long or unusual words split into several; common English words are usually one.
Does it fit the context window?
How much of each model's limit your prompt uses, leaving room for the output length set below.
What this prompt costs.
Per request, and per month at your volume.
| Model | Your tokens | Input $/1M | Output $/1M | Per request | Per month |
|---|
Prices per million tokens from the providers' official pricing pages, verified . Standard (≤200K-token) tier, no caching or batch discounts. GPT counts are exact (o200k tokenizer, used by GPT-4o and later); Claude and Gemini counts are estimates — those tokenizers aren't public. Promotional rates are marked ◦. Confirm current pricing with the provider before budgeting.
Two things that surprise people about Gemini tokens
First, the tiering. Gemini Pro models bill on two meters depending on prompt length: up to 200K tokens at the standard rate, and above that at roughly double. A retrieval pipeline that occasionally stuffs 300K tokens of context into a request pays the higher rate on the whole request, not just the excess. The context bars above make the 200K line easy to watch; the cost table uses the standard tier.
Second, "thinking" tokens. Gemini's reasoning models generate internal tokens before the visible answer, and those are billed as output. For hard questions the hidden reasoning can exceed the visible reply several-fold, so the output-token figure you enter above should reflect total billed output from your logs, not the length of the answer you read. Google's usage metadata reports both.
On tokenization itself, Gemini's SentencePiece model lands close to o200k on English, which is why the estimate here uses the o200k count directly. For an exact figure, the API's free countTokens method accepts the same content you would send to generateContent.
How to use Gemini Token Counter.
- 1
Paste your prompt or upload a text/JSON/code file
- 2
Read the estimated Gemini token count (marked ~)
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Check the context bars — Gemini models offer 1M tokens, but Pro pricing steps up above 200K
- 4
Set output tokens and requests per day to compare monthly cost across Gemini, GPT and Claude models
Why use this tool.
Compare Gemini Flash against GPT mini and Claude Haiku on your real prompt, not on marketing numbers
Spot when a prompt crosses the 200K threshold where Gemini Pro pricing doubles
Plan long-document workloads against the 1M window
Private by construction — nothing leaves the tab
About Gemini Token Counter.
This Gemini token counter estimates how Google's models will tokenize your prompt, using a real tokenizer running in your browser, and pairs the estimate with the numbers you actually plan around: fit against the 1M-token window, the 200K threshold where Gemini Pro pricing steps up, cost per request on Gemini 3.1 Pro, 3.8 Flash and 2.5 Flash at verified current prices, and monthly spend at your request volume — alongside the same prompt on GPT and Claude. Because Google's tokenizer is not public, every Gemini count is marked as an estimate; the free countTokens API method gives exact figures when you need them. Your text is never uploaded.
Frequently asked questions.
How accurate is the Gemini estimate?
Google uses a SentencePiece tokenizer that is not available as a browser library. Measured on English prose, its counts land close to OpenAI's o200k, so this tool uses the o200k count as the Gemini estimate and marks it ~. Expect ±10% on prose and larger deviations on code or non-Latin scripts. Google's countTokens API method returns exact counts for free.
Why does Gemini Pro pricing double above 200K tokens?
Google bills Gemini Pro models on two meters: one for prompts up to 200K tokens and a higher one above it (for 3.1 Pro, $2 → $4 per million input and $12 → $18 output). The context bars show where your prompt sits; the table uses the standard tier, so a long-context prompt will cost more than shown.
Is Gemini Flash cheaper than GPT-4o mini?
Not always. GPT-4o mini is $0.15/$0.60 per million tokens; Gemini 2.5 Flash is $0.30/$2.50 and Gemini 3.8 Flash is $0.75/$3.75 at its promotional rate (verified September 2026). The table applies these to your actual prompt so you can compare per request.
Does the free tier change these numbers?
The Gemini API has a free tier with rate limits and data-use terms that differ from the paid tier. The table shows paid-tier prices; on the free tier your cost is $0 until you hit its limits.
Guides for this tool.
- How many tokens is my prompt? GPT, Claude and Gemini counted on the same text
The four-characters-per-token rule breaks budgets. How each provider actually tokenizes English, code, JSON and other languages, why the counts differ, and how to get an exact number without sending your prompt anywhere.