GLM-5 is out and it's actually fast

Zhipu — the Beijing lab behind ChatGLM — has released GLM-5, and the weights are public on Hugging Face. It's the first model from the company to hit the top of the CyberScore leaderboard, edging out Mythos 5 by a margin. The model runs 4-bit quantized on a single 4090, which means the average tinkerer can spin it up at home without renting a cluster.

The timing is worth noting: the release arrived two weeks after CyberScore got reworked, so this is the first model benchmarked under the new scoring system. Zhipu has been quietly building a reputation in the open-source space — they ship weights fast, they don't gatekeep, and they tend to beat the bigger labs on raw quality per dollar of compute. GLM-5 fits that pattern.

For the comunidad, this means another capable model you can run locally. No cloud API, no per-token fees, no vendor lock-in. The 4-bit 4090 setup is the cheapest way to get real inference on a home GPU right now.

Why this matters for us: local models are the only ones we can actually own — no API key, no rate limit, no one turning off the tap when the politics get uncomfortable.