Thank you for including the tokens needed for each test.

It looks to me that the concisest way of representing each of these tables was a CSV and then a standard markdown table. The amount of tokens appears to be 1/2 or 1/3 of the other options. For experiments not in mice (GPT-4.1-nano), but in larger models or larger context aside from the data table itself, my guess is that preserving context is might be higher value than having the higher-LLM-legibility of the Markdown-KV.