llamaperf

Qwen3.5 4B

on NVIDIA V100 32GB · llama.cpp · 32,768 ctx

NVIDIA hardware
Sep 28, 2026
Throughput
107.0 t/s gen · 4445.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
Q8_0 (GGUF)
VRAM reported
32 GB

Summary

User benchmarks Qwen3.5 4B Q8_0 at 107 t/s generation and 4,445 t/s prompt processing on a Tesla V100 32GB. Setup is llama.cpp (PrismML fork 3ae4f51, CUDA 12.9) with flash attention on, -ngl 99, tested at 0, 16K and 32K context; generation drops to 93 t/s at 32K. An RTX 4070 control card reaches 91 t/s generation and 5,860 t/s prompt processing on the same model. The V100 draws 154 W while generating (0.69 tokens/joule) against the 4070's 173 W (0.53 tokens/joule).