llama 3.3 70b q4_k_m breaks on markdown tables past 21k but plain lists hold to 26k

tested with same content (api endpoint documentation), markdown tables break coherence around 21k tokens but when i converted to bullet lists the same info held to 26k. measured with perplexity sliding window. ok so is this a tokenizer thing or does the model just hate table syntax at long context