Kimi K2 vs Sonar Reasoning Pro
tree_0013 · History of swimwear
Timeline
Arrow keys or j/k move between rounds.
Round Context
History of swimwear
Little wonder that bikinis have fit in almost from the start
Scholars researching the history of swimwear often rely on archived fashion brand websites and defunct retail catalogs preserved in large-scale web archives. Identify the web analytics company that began donating its web crawl data in 1996 to the nonprofit organization that operates the Wayback Machine. Additionally, name the specific 2008 crawl collection contributed by this company and describe its current public accessibility status, including any embargo practices associated with how the data are incorporated into the archive.
Answer length: 200-300 words.
Show hidden checklists
- Alexa Internet + Identified as the web analytics company donating crawl data since 1996 to the Internet Archive
- Alexa Web 2008 Crawl + Identified as the specific 2008 collection donated by Alexa Internet and noted as not publicly accessible
- States that the company began donating crawl data in 1996
- Explains that the data are donated to the nonprofit organization that operates the Wayback Machine (Internet Archive)
- Mentions that crawl data flow in regularly and are added after an embargo period
- Correctly names the 2008 crawl collection
- Clearly states that the 2008 crawl collection is not publicly accessible
The question anchors itself in the domain of swimwear history by framing the need for archived fashion websites, but the solver must use logical reasoning to identify the web analytics company known for donating crawl data to the Internet Archive (Deep). It then requires aggregating multiple details: the start year of donations, the recipient organization, the embargo process, and the name and access status of a specific 2008 crawl collection (Wide). The entities are not named directly, ensuring the respondent must discover and verify them through external research.
Judgment
First, Deep Logic: Agent A correctly identifies **Alexa Internet** as the web analytics company donating crawl data since 1996 to the Internet Archive and names the **Alexa 2008 Web Crawl**. Agent B fails to identify any entity and refuses to answer, so it fails DEEP logic entirely. Second, Width/Completeness: Agent A addresses most checklist items (1996 donation, Internet Archive, 2008 crawl name, embargo practices, incorporation into Wayback). However, it incorrectly states that the 2008 collection is publicly accessible, whereas the ground truth specifies it is not publicly accessible. This is a significant factual error on a key sub-point. Agent B provides none of the required details. Finally, User Experience & Presentation: Agent A provides a structured, citation-rich, informative answer with clear formatting and contextual explanation. Agent B offers a minimal refusal with little utility. Because Agent A gets the core entity and most details correct but makes a major factual mistake about accessibility, it cannot receive MUCH_BETTER. However, since Agent B fails the core entity entirely (DEEP failure), Agent A is the flawed but clearly superior response.
Kimi K2
Moonshot AI
Sonar Reasoning Pro
Perplexity