GLM-4.6
GLM-4.6 is an open-weights language model from Z.ai, released September 30, 2025. It has 357B parameters (mixture-of-experts, 38B active). The context window is 200K tokens. API price: $0.6 input / $2.2 output per million tokens.
Today, we are releasing the latest version of our flagship model: GLM-4.6. Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks.
Check it against your own PC →
Can you run GLM-4.6 locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Too large | – | – | – | – |
| 8 GB VRAM | Too large | – | – | – | – |
| 12 GB VRAM | Too large | – | – | – | – |
| 16 GB VRAM | Too large | – | – | – | – |
| 24 GB VRAM | Too large | – | – | – | – |
| 32 GB VRAM | Too large | – | – | – | – |
Ready-made quantizations on Hugging Face: unsloth/GLM-4.6-GGUF · bartowski/zai-org_GLM-4.6-GGUF · ReadyArt/GLM-4.6-Derestricted-GGUF · Downtown-Case/GLM-4.6-128GB-RAM-IK-GGUF · DevQuasar/zai-org.GLM-4.6-GGUF · ubergarm/GLM-4.6-GGUF
Benchmark results
Epoch AI has not published results for GLM-4.6 yet. New models are usually evaluated within days to weeks.
Links
Announcement · Hugging Face: zai-org/GLM-4.6
More from Z.ai
GLM-5.3-FlashX · GLM 5.3 Flash BF16 · GLM 5.3 BF16 · GLM-5.3-Flash · GLM-5.3 · GLM-5.2 · GLM-5.1 · GLM-5V-Turbo