GLM 5.3 Flash BF16
GLM 5.3 Flash BF16 is an open-weights language model from Z.ai, released August 25, 2026. It has 321B parameters (mixture-of-experts, 25B active). The context window is 1M tokens.
Check it against your own PC →
Can you run GLM 5.3 Flash BF16 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: vcruz305/GLM-5.3-Flash-GGUF · bartowski/GLM-5.3-Flash-BF16-GGUF · ggml-org/GLM-5.3-Flash-GGUF · AesSedai/GLM-5.3-Flash-GGUF · brandonmusic/GLM-5.3-Flash-tr3-4bpw · RadixArk/GLM-5.3-Flash-NVFP4
Benchmark results
Epoch AI has not published results for GLM 5.3 Flash BF16 yet. New models are usually evaluated within days to weeks.
Links
Hugging Face: zai-org/GLM-5.3-Flash-BF16
More from Z.ai
GLM-5.3-FlashX · GLM 5.3 BF16 · GLM-5.3-Flash · GLM-5.3 · GLM-5.2 · GLM-5.1 · GLM-5V-Turbo · GLM-5-Turbo