Meta Paper Shows Byte Models Can Beat Token Models After Sufficient Training

A new paper from Meta FAIR and the University of Washington challenges the industry's reliance on tokenizers, showing that byte-level models trained sufficiently and distilled can outperform token models across eight benchmarks.

2026-10-10 ~ 2026-10-10 · 2 related posts

• Meta paper shows byte-level models beat tokenized ones given enough training compute — alex_verem · 2026-10-10
• arXiv: distilling byte models breaks the token ceiling, up to 4% better asymptotically — alex_verem · 2026-10-10