GLM 4.5
352.9B total, 33.7B active · 128k context · MIT · released 2025-07-20
chatreasoningcodingagentic
What to run it on in Germany
Fully in memory at 128k context, priced at retailers today.
Nothing we price holds this model fully in memory.
All hardware that runs it
Everything we price, best value first. Two cards split the model by layers.
Nothing we price can run it at this context.
Memory needed
Weights, KV cache and runtime buffers at each context length (KV cache at fp16).
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Run it
Copy a command for the runtime you use.
No published builds to run yet.
Notes
Hybrid reasoning model with thinking and non-thinking modes. BF16 needs about H100 x16 / H200 x8 for inference (H100 x32 / H200 x16 for the full 128K context), and the server needs over 1T of memory. Excludes 5.5B parameters of multi-token-prediction layers, which local runtimes do not load.
Questions
- What licence is GLM 4.5 released under?
- MIT, which allows commercial use.