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TokenMath.net
100% Client-SideCalibrated Gemini Tokenizer (±4%)

Gemini Token Counter

Gemini models use a SentencePiece tokenizer with a very large vocabulary, which makes them especially efficient on non-English text. TokenMath counts Gemini tokens with a calibrated estimate, typically within ±4%.

Universal AI Token Counter

Zero-latency, client-side BPE tokenization with real-time multi-model benchmarks.

Tokens (Gemini 3.8 Flash)
166
Ratio: 4.33 chars/token•Single Call Cost: $0.00012•Context Used: 0.02% of 1,048,576
Prices last updated: 2026-10-02 18:28 UTC
•Verified Google Rates
Content Metrics
Characters
718
Words
94
Lines
11
Est. Read Time
26s
Cost Across Frontier Models for this Workload:
Click any model to select as active target
💡 Workload Optimization:You could spend 98% less by routing this workload to Mistral Small 4 ($0.000026) instead of GPT-6 Astra ($0.00164).
At 100k runs/month, that saves approx. $161.44/mo.
Cheapest Model Finder →
Context Headroom Analyzer(Gemini 3.8 Flash)
166 / 1,048,576 tokens(0.02% used • 99.98% free)
Claude Sonnet 51M
0.0%
GPT-6 Astra1.05M
0.0%
Gemini 3.8 Flash1.05M
0.0%
DeepSeek-V4.1-Flash1.05M
0.0%
11 lines•94 words•718 characters
Prompts stay in your browser. Calculator inputs are never transmitted.

Gemini Models: Context Windows & Token Prices

ModelContext WindowInput / 1MOutput / 1MToken Count Accuracy
Gemini 3.8 Flash1.05M tokens$0.75$3.75Calibrated Gemini Tokenizer (±4%)
Gemini 3.1 Pro Preview1.05M tokens$2$12Calibrated Gemini Tokenizer (±4%)
Gemini 2.5 Flash-Lite1.05M tokens$0.1$0.4Calibrated Gemini Tokenizer (±4%)
Gemini 2.5 Flash1.05M tokens$0.3$2.5Heuristic Estimate (±5%)
Gemini 3.8 Pro1.05M tokens$4$18Calibrated Gemini Tokenizer (±4%)

How Gemini Tokenization Works

Gemini models split text with the Gemini SentencePiece tokenizer, a SentencePiece (unigram) scheme with a ~256,000 tokens vocabulary. Common words map to one token, while rare words, identifiers and non-Latin scripts are split into several subword pieces. Read how BPE and SentencePiece tokenization work for the details.

  • The 256k vocabulary compresses Asian and multilingual scripts better than most BPE tokenizers.
  • Images, audio and video are billed as tokens too; use the multimodal calculators for those.
  • For exact numbers, the Gemini API's countTokens method returns the billed count.

Once you know your token count, estimate a full monthly bill with the LLM cost calculator, or see every Google model price.

Gemini Token Counter FAQ

How do I count Gemini tokens?

Paste your prompt into the counter above with a Gemini model selected. TokenMath tokenizes the text in your browser and shows the token count, context window usage and input cost. Accuracy: Calibrated Gemini Tokenizer (±4%).

What tokenizer does Gemini use?

Gemini models are counted with the Gemini SentencePiece tokenizer (SentencePiece (unigram), ~256,000 tokens vocabulary). Gemini models use a SentencePiece tokenizer with a very large vocabulary, which makes them especially efficient on non-English text.

How many words is 1,000 Gemini tokens?

For typical English prose, 1,000 tokens is roughly 700–750 words. Code, JSON and non-English text use more tokens per word, so count the actual text when budgeting.

How much does Gemini 3.8 Flash cost per token?

Gemini 3.8 Flash costs $0.75 per 1M input tokens and $3.75 per 1M output tokens. That's $0.00075 per 1,000 input tokens.