Multilingual Token Calculator
See why non-English text costs more tokens.
With the default inputs, ~1,900 tokens (90.0% more than English) — Same text costs $0.00475 vs $0.00250 in English. Enter your own numbers below to recompute instantly; the full step-by-step math is shown under the worked example.
Results update automatically as you type.
- English-equivalent tokens
- 1,000
- Language inflation factor
- 1.9x
- Actual tokens
- 1,900
- Extra tokens
- 900
- Input cost (this language)
- $0.00475
The same sentence uses more tokens in some languages than in English, so you pay more for identical meaning. Pick a language to see the token inflation factor and the extra cost.
How this is calculated
We multiply your English-equivalent token count by a language inflation factor (the same meaning takes more tokens in other languages) and price the difference at your model's rate. Non-Latin scripts inflate most because tokenizers are trained mostly on English.
Is this a good result? What to do next
Expect to pay a premium for non-English content — often ~1.2× for Western European languages and up to ~2.5× for Hindi or Thai. If most of your traffic is in a high-inflation language, budget for it; it materially changes cost per request.
Typical planning ranges
- Spanish / French
- ~1.2× English tokens
- Chinese / Japanese / Korean
- ~1.6–1.9×
- Hindi / Thai
- up to ~2.5×
Ranges are typical planning figures to sanity-check your result, not authoritative benchmarks. Your numbers will vary with use case, volume, and vendor.
How to improve this number
- Cache stable non-English context to blunt the token premium.
- Where quality allows, keep system prompts in English and translate output.
- Choose models with tokenizers tuned for your target language.
Common mistakes
- Budgeting non-English workloads at English token rates.
- Assuming the inflation factor is exact — it varies by tokenizer and text.
When to use a different approach
To count a specific string, use the token counter. To compare translation against human rates, use the AI translation cost calculator.
Worked example (defaults)
With the default inputs above, here is the result:
- English-equivalent tokens
- 1,000
- Language inflation factor
- 1.9x
- Actual tokens
- 1,900
- Extra tokens
- 900
- Input cost (this language)
- $0.00475
- Non-English text tokenizes into more tokens, so you pay more for the same meaning.
Sources & references
Frequently asked questions
Why does non-English text cost more?+
Tokenizers are trained mostly on English, so other languages (especially non-Latin scripts) split into more tokens per word.
Are the factors exact?+
They're representative averages. Actual inflation varies by tokenizer and text; use them as a planning guide.
Related calculators
Answering a real question?
This calculator powers these problem-solving guides: