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wrapped·Oct 17, 2026
/r/r_0dh1kzbv4h0
your run

Qwen3-Coder-30B-A3B-Instruct

on RTX 3090
199.7
tok/sdecode
RTX 3090 (24GB) + AMD EPYC 7282 16-Core Processor (16c) + 126GB
rank in tier
2/14RTX 3090 runstop 14%
best workload
chat-short
where the rig flew
slowest workload
chat-long187.0 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
  • Yi-Coder-9B-Chat on RTX 5090199.3 tok/s
  • gemma3 on RTX 4090195.0 tok/s
  • stable-code-instruct-3b-4bit on M3 Ultra192.5 tok/s
share
199.7 tok/s on RTX 3090 running Qwen3-Coder-30B-A3B-Instruct — top 14% of RTX 3090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_0dh1kzbv4h0
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This is a shareable view of one signed llm-speed suite-suite-v1 run. Numbers are not edited. The raw record has every workload, the public key, and the fingerprint hash.