llamaperf

Qwen3.8 27B

on NVIDIA RTX 3090 · vLLM

Tone: positiveNVIDIA hardware
Sep 13, 2026
Throughput
100.0 t/s gen
Quant
Q4
MTP (Multi-Token Prediction)
on

Use cases

codingtool-use

Summary

User reports Qwen3.8 27B at an average 100 t/s on an RTX 3090, compared to 20 t/s on a MacBook M5 Pro 48GB. Setup is vLLM with a Q4 model on Linux, served over an OpenAI endpoint. The Mac run used llama.cpp with MTP and an Unsloth Q6 quant; Q4 on Mac made little speed difference. User notes tool calls fail more often but the model self-corrects, and considers the setup good enough to replace a Claude subscription.