wrapped·Oct 14, 2026
/r/r_7j8rpk9mwhgyour run
Qwen3.8-27B-mtp-on
on RTX 4090
84.5
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 7642 48-Core Processor (48c) + 252GB
rank in tier
23/31RTX 4090 runstop 74%
best workload
chat-short
where the rig flew
slowest workload
chat-long73.1 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- Qwen3-Next-80B-A3B-Instruct-MLX-4bit on M3 Ultra80.3 tok/s
- gemma3 on RTX 309078.7 tok/s
- Qwen3.8-27B on RTX 509075.4 tok/s