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Non-English prompts cost more tokens and money with most LLMs

A recent analysis reveals that using languages other than English with most large language models incurs higher costs due to tokenization differences. Models like Claude Opus 5, for instance, tokenize Russian text at nearly three times the rate of English, leading to significantly higher expenses for non-English prompts, even when the per-token price is the same. This disparity stems from how tokenizers are trained on specific language corpora, with English sequences often assigned single tokens while other languages are broken into more fragments. AI

IMPACT Non-English users may face higher costs and reduced context window usage with current LLMs due to tokenization biases.

RANK_REASON Analysis of LLM tokenization costs for non-English languages.

Read on Medium — Claude tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Non-English prompts cost more tokens and money with most LLMs

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76 / 100
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Analysis of LLM tokenization costs for non-English languages.
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2 independent sources
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model release, product
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COVERAGE [2]

  1. Medium — Claude tag TIER_1 English(EN) · Khasky ·

    Non-English Prompts Cost More Tokens, Context and Money in Most LLMs

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@khasky/non-english-prompts-cost-more-tokens-context-and-money-in-most-llms-e94cbab2bb8c?source=rss------claude-5"><img src="https://cdn-images-1.medium.com/max/1600/0*MKzkkA-DLG0Lt39q.png" wid…

  2. dev.to — LLM tag TIER_1 English(EN) · Khasky ·

    Non-English Prompts Cost More Tokens, Context and Money in Most LLMs

    <p>Claude Opus 5 costs $5 per million input tokens whether a prompt arrives in English or in Russian. What changes between the two languages is how many tokens the same paragraph becomes, and the bill is that count multiplied by the price.</p> <p>A recent test on <a href="https:/…