Model Releases

Qwen 3.8 27B is a game changer.

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 pipeli

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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. It'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. This 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. Hyper 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. I 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. submitted by /u/Cold_Specialist_3656 [link] [comments]

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Source: r/LocalLLaMA | 2026-08-23

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