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Qwen3.6 model shows markdown best for quality, HTML for token bloat

A user tested the Qwen3.6 35B model to compare output quality and efficiency across different formatting styles: raw text, markdown, unstyled HTML, and styled HTML. The experiment revealed that while markdown produced the best overall quality score from ChatGPT 5.5 Extended Reasoning, unstyled and styled HTML formats resulted in significantly larger token counts and longer generation times. Raw text was the most token-efficient for content but lacked formatting. AI

IMPACT Demonstrates that while HTML can increase token counts significantly, markdown remains a strong choice for balanced quality and efficiency in LLM responses.

RANK_REASON User-generated benchmark comparing model output formats. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Nederlands(NL) · /u/BigYoSpeck ·

    Qwen3.6 35B - TXT vs Markdown vs HTML vs HTML+CSS

    <!-- SC_OFF --><div class="md"><p>Theres been talk of late about using HTML rather than markdown in Claude Code. I was curious how this worked with a local model so loaded up Qwen3.6 35B A3B at Q8 and F16 KV cache.</p> <p>Then I gave it the same prompt <code>write a detailed expl…