PulseAugur
EN
LIVE 14:04:22

Users seek LLM rankings comparing open vs closed models

A user on Reddit's r/LocalLLaMA community is seeking information on comprehensive rankings that compare closed-source and open-weight large language models (LLMs). They are looking for practical insights into which models perform best locally versus via API, and whether larger open-weight models in the 70B–350B parameter range offer a quality jump that justifies their VRAM and complexity requirements. AI

IMPACT Users are seeking clarity on the practical performance differences between open and closed LLMs to inform local deployment decisions.

RANK_REASON User query about LLM rankings and model performance.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Users seek LLM rankings comparing open vs closed models

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/zakadit ·

    Are there good closed vs open LLM rankings? Also, are 70B–350B models actually worth it?

    <!-- SC_OFF --><div class="md"><p>hey, </p> <p>I’m currently getting enough VRAM to run something in the GLM-5.2 range, but I’m wondering: do we actually have a solid ranking that compares closed-source and open-weight LLMs side by side?</p> <p>I’ve been trying to find a clear “c…