llamaperf

Qwen3.8 27B

on NVIDIA RTX 5090 · NInfer · 240,000 ctx

Tone: positiveNVIDIA hardware
Sep 7, 2026
Throughput
202.0 t/s gen · 3904.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
NVFP4
KV cache
FP8
MTP (Multi-Token Prediction)
on
System RAM
32 GB
VRAM reported
32 GB

Use cases

long-contexttool-useagentic

Summary

User compares NInfer, llama.cpp and vLLM for Qwen3.8-27B on an RTX 5090. NInfer with NVFP4 and MTP3 reaches 158-213 t/s decode and 3904-7265 t/s prefill. NInfer outperforms llama.cpp with Q5_K_M by 1.4-2.8x decode and 2.6-4.7x prefill. Quality is statistically indistinguishable across engines. NInfer lacks json_mode support, and vLLM speed is not directly comparable due to wall-clock timing.