Qwen125Bvs27B Same Machine Showdown Test - Full Math Speed
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2026-10-09 18:00:00
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"Qwen3.8 27B VS Flash Next 125B: actual performance test between llama.cpp and Strata"
Same Qwen3.8, how different are the actual performances of 27B and 125B? Does a larger parameter count always mean stronger performance? Does higher VRAM usage necessarily mean slower speed?
In this episode, we use the same machine and the same test script to conduct actual tests of two local AI deployment solutions:
🔵 27B + llama.cpp: 17GB model file, runnable on a single 24GB graphics card.
🔴 125B + Strata: MoE architecture, combined with MTP speculative decoding, actual generation speed reaches 172~255 Token/s, about 3~4 times that of 27B!
Math reasoning 10:8, code testing 9:9, long-text retrieval all hits. Large models gain advantages in speed and complex reasoning, but 27B remains highly competitive in resource usage and everyday tasks.
Which is more practical, 27B or is 125B more worthy of deployment? Real test data tells you the answer!
#LocalAIDeployment #Qwen #llamacpp #Strata #AIf graphics card #large model deployment #MoE #AI performance test
