News2026-03-20T17:08:33-05:00
2204, 2026

The Model That Barely Slows Down: Gemma 4 26B vs Qwen 3.6 35B at Long Context

By |April 22, 2026|Categories: AI Workspaces, Tips & Tricks|Tags: , , , , |0 Comments

We ran Gemma 4 26B and Qwen 3.6 35B-A3B head-to-head on the same server, same quantization, same protocol. Gemma 4 is 3.7× faster at 32k context — and 7.2× faster at 128k. The gap widens with context, and the reason reveals something important about model selection for long-context workloads.

2004, 2026

Same AI Model, Two Hardware Tiers — And Why Context Length Is the Hidden Variable

By |April 20, 2026|Categories: AI Workspaces, Privacy, Tips & Tricks|Tags: , , , |0 Comments

We put Qwen 3.6 35B-A3B on a developer laptop and a dual-GPU server. The speed gap grows from 2.4× to 5.3× as context grows — and the real bottleneck turns out not to be compute.

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