Evergreen explainers
Guides to reading model releases.
Short reference pages for the questions that come up repeatedly when comparing releases: access, local hardware, and release timelines.
Guide
What is an open-weight model?
How LLM Releases distinguishes proprietary, open-weight, and open-source model releases.
Guide
How to size local LLM hardware
A practical explanation of parameters, quantization, context windows, and rough memory estimates.
Guide
How to read model release timelines
Use lab, family, and changelog pages to follow model lineages without losing source provenance.
Guide
LLM benchmarks explained
What MMLU, GPQA, SWE-bench, AIME, LMArena and other evals actually measure — and why scores need a source.
Guide
What is a reasoning model?
How reasoning or “thinking” models differ from standard chat models, and when the extra latency is worth it.