Why this dev prefers a 27B dense model with 1M context over a big MoE at 128k
Express_Quail_1493 · reddit · 2026-11-05
A developer argues for spending VRAM on context length rather than parameters: a 400k-context 27B dense model plus web search beats a big MoE capped at 128k for agentic work, since larger context means less re-reading files and more done per session. They report agentic sessions shine with big context and expect Qwen4-27b to be architected for reliable 1M-context use.
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