Qwen 3.8 27B did a better job than 3.8 Flash Next, but it is still not even close.
I need to try Grok and Codex to see if this is just a really hard game to recreate. I am trying 3.8 Flash Next one last time using DeepSeek Harness because I've had really good luck with it.
DeepSeek V4 Flash • Qwen 3.8 Flash
GLM 5.3 Flash • Gemini 3.7 Flash
262K context. On a 16GB RTX 5070 Ti.
🤯 Qwen 3.8 27B Q3 hits ~25 tok/s while an adaptive llama.cpp fork streams KV cache between RAM ↔ VRAM. Stock llama.cpp starts thrashing around ~120K context. Same consumer GPU. 2x+ the usable context. This could be huge for local LLMs.
The underlying Qwen 3.8 Max model is huge
2.4 trillion total parameters. But only around 95 billion are activated for an individual task. That mixture-of-experts approach lets it pull in the relevant parts of the model instead of activating everything.
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