wrapped·Oct 14, 2026
/r/r_1k8942tw3zfyour run
Qwen3-Coder-30B-A3B-Instruct
on RTX 4090
232.5
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 7642 48-Core Processor (48c) + 252GB
rank in tier
3/31RTX 4090 runstop 10%
best workload
chat-short
where the rig flew
slowest workload
chat-long206.9 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- Llama-3.1-8B-Instruct on RTX 5090232.2 tok/s
- Qwen3.6-35B-A3B-Q4_K_M.gguf on RTX 5090224.0 tok/s
- Yi-Coder-9B-Chat on RTX 5090199.3 tok/s