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Reducing LLM input tokens by 70%
Cuts token costs 70% with receipts proving no accuracy drop on hard evals.
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Jbunga
56331mo ago
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Mothertoken – know the mother tongue of your LLMs
by inimaz·Jun 9, 2026·1 point·0 comments
AI Analysis
●●SolidBig BrainNiche Gem
Shows which LLM tokenizers are efficient for your language, not just English.
Strengths
- •Chars/token and fertility metrics reveal real cost differences across languages
- •CLI lets you benchmark custom models against your specific language needs
- •English baseline makes cross-model comparison immediately understandable
Weaknesses
- •Limited to tokenizer efficiency, doesn't measure actual model quality
- •Niche audience - most users only care about English performance
Category
Target Audience
ML engineers, non-English LLM users
Similar To
Hugging Face Tokenizers · tiktoken
Post Description
Compare how good LLMs are across languages. There is a website and cli to try with the models/languages you care about.
See the repo for more information: https://github.com/inimaz/mothertoken
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