Benchmarks
How to Get 2.5x Faster Qwen on RTX 3090 (Free)
I built DFlash on my RTX 3090 and ran the full bench. Real 2.5x speedup on Qwen 3.5 and 3.6 — below the 3.43x README claim, still huge. Here's how.
RTX 5090 Benchmarks: 5090 vs 4090 vs Used 3090 (2026)
5090 community benches across 4K-131K context, prompt-processing tables, 5090-vs-4090 upgrade math, and InsiderLLM's firsthand 3090 honest-value anchor.
LM Studio vs llama.cpp: Why Your Model Runs Slower in the GUI
LM Studio uses llama.cpp under the hood but often runs 30-50% slower. Bundled runtime lag, UI overhead, and default settings explain the gap. How to benchmark it yourself and when the convenience is worth it.
RTX 5060 Ti Review for Local AI — The New Budget King
Real benchmarks for the RTX 5060 Ti 16GB running local LLMs. Qwen 3.5 35B at 44 tok/s, 100K context for ~$430. Compared against RTX 3060, 3090, and 4060 Ti.
The Benchmarks Lie: Why LLM Scores Don't Predict Real-World Performance
MMLU scores drop 14-17 points when contamination is removed. HumanEval is saturated at 94%. Models trained on the test set. Here's what to measure instead.
Distilled vs Frontier Models for Local AI — What You're Actually Getting
That local model you love was probably trained on stolen outputs from Claude or GPT. Here's what distillation actually does to a model's reasoning, where it breaks, and why it matters most for agentic work.
Best Qwen 3.5 Setup: When to Stay vs Move to 3.6 (2026)
3.5 is Qwen's stable open workhorse — 3.6 replaced only two tiers, 3.7 went closed. Which 3.5 model on which GPU, when to stay vs move to 3.6.
Best LLM Speed Trick: ExLlamaV2 vs llama.cpp Benchmarks (50-85% Faster)
Head-to-head speed benchmarks on RTX 3090 and 4090. ExLlamaV2 generates tokens 50-85% faster than llama.cpp on NVIDIA GPUs. Full comparison with setup guides for both.