Sonar Reasoning Pro vs Kimi K2
tree_0012 · epguides.com * Main Menu Page
Timeline
Arrow keys or j/k move between rounds.
Round Context
epguides.com * Main Menu Page
TVmaze.com
A long-running online television episode-listing project, active since the mid-1990s, provides only titles and airdates on its own pages but directs users to two separate third-party TV databases for expanded episode details such as guest stars and plot summaries. It also advises users to send corrections and updates directly through those external databases when visiting them. Identify these two television databases and, for each one, provide: (1) its founding year, (2) its country of origin, and (3) one distinctive feature that differentiates it from other TV information sites.
Answer length: 200-300 words.
Show hidden checklists
- TVmaze – Correctly identified as one of the two external databases used for detailed episode information and corrections
- TV.com – Correctly identified as the other external database used for detailed episode information and corrections
- Logic proof – Both entities match the criteria of being third-party TV databases linked for expanded episode data and user-submitted corrections
- TVmaze – Founding year
- TVmaze – Country of origin
- TVmaze – One distinctive feature (e.g., community-driven data, API access, or episode-level metadata)
- TV.com – Founding year
- TV.com – Country of origin
- TV.com – One distinctive feature (e.g., corporate ownership history, user reviews, or archival TV database role)
The question uses deep logic by describing the function and behavior of the external databases (detailed episode data and correction submission) without naming them, requiring identification through contextual clues. It then applies wide aggregation by demanding multiple verifiable attributes (founding year, origin, and distinctive feature) for both databases, ensuring the responder must consult and compare information from each entity.
Judgment
First, Deep Logic: The correct databases per the checklist are TVmaze and TV.com. Agent A fails completely by refusing to answer, identifying neither entity. Agent B incorrectly identifies IMDb instead of TVmaze, meaning it also fails the core entity requirement (DEEP failure), though it correctly includes TV.com. Since both agents fail to correctly identify both required databases, neither satisfies the fundamental entity requirement. Second, Width/Completeness: Agent A provides no substantive details (WIDE failure). Agent B provides structured details for IMDb and TV.com, but because IMDb is incorrect, half of its required checklist items are invalid. Thus, it also fails WIDE aggregation relative to the ground truth. Finally, User Experience: Agent B is far superior in formatting, structure, and helpfulness, while Agent A is a full refusal. However, because Agent B contains a major core-entity error (IMDb instead of TVmaze), it cannot qualify for BETTER under the rubric. Since both fail the central logic requirement, this is a Low Quality Tie.
Sonar Reasoning Pro
Perplexity
Kimi K2
Moonshot AI