Clojure's Alleged Token Efficiency: A Critical Look
Published:Jan 10, 2026 01:38
•1 min read
•Zenn LLM
Analysis
The article summarizes a study on token efficiency across programming languages, highlighting Clojure's performance. However, the methodology and specific tasks used in RosettaCode could significantly influence the results, potentially biasing towards languages well-suited for concise solutions to those tasks. Further, the choice of tokenizer, GPT-4's in this case, may introduce biases based on its training data and tokenization strategies.
Key Takeaways
- •Clojure is purportedly the most token-efficient language.
- •The study used RosettaCode and Xenova/gpt-4 tokenizer.
- •Context length limits in LLM-assisted coding are a key challenge.
Reference
“LLMを活用したコーディングが主流になりつつある中、コンテキスト長の制限が最大の課題となっている。”