{
  "video_id": "reddit_1vvyacg",
  "channel_slug": "LocalLLaMA",
  "channel_handle": "r/LocalLLaMA",
  "title": "Qwen 3.8 27B is a game changer.",
  "url": "https://www.reddit.com/r/LocalLLaMA/comments/1vvyacg/qwen_38_27b_is_a_game_changer/",
  "external_url": null,
  "upload_date": "20260823",
  "published_at": "2026-08-23T05:19:48+00:00",
  "transcript": "Our devs got their hands on it a few days ago. One wired it into Codex to compare with GPT Luna, our usual workhorse right now for its cost effectiveness. Another tried it out on one of our OCR pipelines. \n\n  \nIt's comparable to Luna for coding and \\*\\*\\*OCR quality appears to be better than Gemini 3.5 Flash Lite\\*\\*\\*. That's huge. We pay a ton of money for OCR. \n\n  \nThis is the first local model that feels like more than a toy. It's truly as capable as the frontier models from a year ago. For the first time ever there's serious discussions about buying our own hardware. With estimates that such an effort would pay for itself in less than 2 months. \n\nHyper scalars are in big trouble this time. Their whole \"moat\" is buying up all the hardware. And thanks to sanctions on China we're seeing the quality of small local models skyrocket. As someone who's been around a while, this feels like an \"IBM moment\". Where the industry assumed that databases would always run on huge mainframes. Only to be wiped out by cheaper local solutions a few years later. \n\nI have a feeling this release will trigger another Llama style open source Renaissance. We're already getting better quants. Inference will be further improved. We might even see a comparable MoE with 500+ Tok/sec on consumer hardware soon.\n\n\n\n--- Top Comments ---\n\n\n[1 upvotes] Your post is getting popular and we just featured it on our Discord! [Come check it out!](https://discord.gg/PgFhZ8cnWW)\n\nYou've also been given a special flair for your contribution. We appreciate your post!\n\n*I am a bot and this action was performed automatically.*\n\n[168 upvotes] There are better more efficient ways to do OCR at a very high quality like Ovisocr2, 1B param models that'll beat Gemini flash just fine and at mind bending generation speed. \n\n[89 upvotes] the game is forever changing to the point where I don't even know what the game is anymore.\n\n[43 upvotes] if they would release 122b or 255b MOE with the same architecture and learning base that would reshape the AI market significantly. this is now a \"weapon\" they keep in their sleeves.\n\n[42 upvotes] If qwen releases 3.8 122b next week that could be a game changer. I know 27b benchmarks comparable to opus 4.6, but the 122b MoE has a chance of actually performing at that level across multiple domains",
  "transcript_chars": 2321,
  "ingested_at": "2026-08-23T13:30:05.435249+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 434,
    "upvote_ratio": 0.93,
    "num_comments": 152,
    "author": "Cold_Specialist_3656",
    "is_self": true
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}