A 0.8B fine-tune ties GPT-5.6 Luna on dictation cleanup, and the author reports it as a tie.

SpeakoFlow Mini fine-tunes Qwen3.5-0.8B to apply only the corrections a speaker actually made and leave the rest alone. On the author's English-only benchmark it scored 70.7% against GPT-5.6 Luna's 65.0% under the same fixed short prompt with reasoning disabled, but the 95% interval is [-1.5, +12.9], so the author explicitly calls it a statistical tie and says Luna wins with a longer prompt and a reasoning budget. (r/LocalLLaMA) The controlled result holds: fine-tuning moved the untuned base from 47.3% to 70.7%, +23.4 points at [+16.3, +30.3]. I wish more model posts were written like this one.