Modeling challenge! 0x Alpha vs Grok 4.6 vs Qwen 3.8 big showdown!
Token Usage + Cost + Highlights Full Disassembly👇 📌 Core Data • Qwen 3.8: About 550,000 tokens, $1.90 • Grok 4.6: ~2-4 million tokens, $4.20 • 0x Alpha: ~1.2 million tokens, $0 (free) 📌 Comments on the highlights of each model 🔥 Qwen
Qwen 3.8 Max Full COURSE 1 HOUR (Build & Automate Anything)
Forget the idea that you need a supercomputer to run the most advanced AI.
A new model from Qwen, the 3.8 27B, is changing everything, running locally on an RTX 4060 with just 8GB of VRAM. This means that, with a video card that costs around R$1.
The surprising part: a reported Kaggle setup runs Qwen 3.8 27B on 2 free NVIDIA T4s with 120k context
FP16 KV cache, 26.6 GB total VRAM, and about 14 tokens/sec. Setup is claimed under 5 minutes with no credit card.
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