{
  "video_id": "reddit_1u0gjpy",
  "channel_slug": "LocalLLaMA",
  "channel_handle": "r/LocalLLaMA",
  "title": "LocalLLaMA post tier list",
  "url": "https://www.reddit.com/r/LocalLLaMA/comments/1u0gjpy/localllama_post_tier_list/",
  "external_url": null,
  "upload_date": "20260608",
  "published_at": "2026-06-08T18:34:59+00:00",
  "transcript": "Since there is much (justified) whining about post quality, I thought it would be helpful to get a sense of what people actually DO like. Here's my take:\n\n**S-tier:**  \n\\-GGUFs/MLX or benchmark data for new best-in-class local model released  \n\\- New Optimizations that are actually a big deal for most people (e.g. MTP)  \n\\- Hardware capability posts that include both prefill and decode t/s and specify engine, quant, and context size.  \n\\- weird stuff like that robot in the suitcase\n\n**A Tier:**  \n\\-New optimizations that are real but only help a minority of people or aren't yet ready for primetime (e.g. turbo quant)  \n\\-Memes making fun of closed-source AI  \n\\-New harnesses or agents or major updates, e.g. opencode can now do \\_\\_\\_\\_\\_\\_\\_\\_ new thing and this is why it is helpful/how to take advantage of it  \n\\-Research that affects the industry overall and is supplied with actual reasonable analysis;  \n\\- In-depth model capability comparisons across a broad range of tasks or benchmarks, that haven't already been done 1000x (i.e. not qwen or gemma)\n\n**B tier:**  \n\\-Non-ai generated reports of specific use cases where certain models did well.  \n\\-Posts sharing new builds that include price and model fitting capability, but are sparse on actual performance  \n\\-Memes making fun of local ai (feel free to also post in a sub I am trying to get going r/localaicirclejerk)\n\n**C Tier:**  \n\\- memes whining about Sam Altman or Dario or Elon  \n\\-  Stories about Cloud AI models that don't have anything to do with local AI  \n\\- \"what's the best model I can run on a 3060?\"  \n\\- Posts that make macs look like perfect at home data centers  \n\\- Posts that make macs look like garbage that don't work for \"AgEnTic CodiNg\" which apparently always requires a fresh prefill of 50k+ tokens every single call.\n\n**D tier:**  \n\\-random \"strawberry\" or \"car wash\" type benchmark that we've all seen 500 fucking times; \"look Qwen thinks it's Claude.\" \"Look, Qwen thinks it's still 2024! I knew local AI was garbage!\"  \n\\-\"Is local AI good? How does it compare to Claude Opus 4.8 for me asking random questions about nothing or generating power ranger erotic fanfiction?\"  \n\\-AI generated post alleging some improvements in workflows or optimizations, but where it's difficult to tell if there is any actual information or it's just pure slop\n\n**F tier:**  \n\\-AI generated shitpost asking stupid questions to gain karma, usually full of \"it's not x, it's y\" often disguised, poorly, by instructing model not to capitalize letters at beginnings of sentences  \n\\-thinly veiled ads for AI startup that is a claude wrapper\n\n\n\n--- Top Comments ---\n\n\n[28 upvotes] I'd put carwash/strawberry posts to F tier tbh. SVG generation posts are slowly becoming the new strawberry.\n\n\nAlso, you seem to have forgotten the lovely \"look, the model doesn't know it exists\" or \"look, the model says it's Claude when it's obviously not\" (I might have missed it though)\n\n[14 upvotes] So this post bitching about other posts.... Are we calling it F tier?\n\n[10 upvotes] Love it. I've been guilty of a few but I learned. I'll do better boss.",
  "transcript_chars": 3116,
  "ingested_at": "2026-06-09T01:30:05.675780+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 59,
    "upvote_ratio": 0.88,
    "num_comments": 30,
    "author": "nomorebuttsplz",
    "is_self": true
  }
}