mlsanityData to 14 Oct 2026

Speed and Conversational Large Language Models: Not All Is About Tokens per Second

arXiv 2502.16721 ↗First posted 23 Feb 2025cs.CL cs.AIcited by 2

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Abstract (arXiv)

The speed of open-weights large language models (LLMs) and its dependency on the task at hand, when run on GPUs, is studied to present a comparative analysis of the speed of the most popular open LLMs.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 5 of its 12 references that are in the map. First posted on arXiv 23 Feb 2025.

Builds on

5 of 12 references.

References · 5

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
  3. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,626
  4. 2020Measuring Massive Multitask Language Understandingcited by 7,963
  5. 2023Mistral 7Bcited by 3,164

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Cited by year

Citing papers per year: 2025: 2.

2 papers.

  1. 2025La Leaderboard: A Large Language Model Leaderboard for Spanish Varieties and Languages of Spain and Latin Americacited by 2
  2. 2025The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluationscited by 0