llamaperf

GLM-5.1

Zhipu AI · 3 reports

GLM-5.1 VRAM requirements by size and quant →

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Reported performance for GLM-5.1

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NVIDIA hardware
generation:
90.6 tokens/s
quant:
NVFP4 (NVFP4)
kv:
BF16

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

User reports GLM-5.1 at 90.6 t/s single-stream decode on 8x RTX PRO 6000 Blackwell (96 GB each, 768 GB total). Setup is vLLM with an NVFP4 checkpoint (lukealonso/GLM-5.1-NVFP4-MTP), BF16 KV cache, DCP1, MTP speculative decoding on, 371456 KV cache tokens, max model length 202752. Aggregate decode reaches 1165.1 t/s at 64 concurrent requests; cold prefill is 4333 t/s at 8k context and 3170 t/s at 128k. DCP2 and DCP4 trade decode speed for larger KV cache, and DCP8 MTP-off was unstable at long context.

Oct 7, 2026
Tone: positive

User benchmarks GLM-5.1 among local and cloud models for cybersecurity. No hardware or engine details are provided.

Sep 7, 2026
Tone: positiveNVIDIA hardware
quant:
NVFP4

User reports GLM-5.1-NVFP4 at 434 GB served across a 16x DGX Spark cluster with unified memory at TP=8. User plans to test DeepSeek and Kimi on the same cluster. User plans a future prefill/decode split using M5 Ultra Mac Studios.

May 1, 2026

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Reported configurations

Individual observations from this page, not expected speeds or a ranking. Select a model to open its report, with the source and offloading conditions. Reported context may be a limit rather than actual input length.

Model / hardwareQuant / engineReported contextGeneration
GLM-5.1 744B (40B active)
8× NVIDIA RTX Pro 6000 Blackwell
NVFP4
vLLM
Not reported90.6 tokens/s