Gemini 2.5 Pro vs GPT-5.1
tree_0028 · GameFAQs
Timeline
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Round Context
GameFAQs
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In the history of the GameFAQs Character Battle tournaments, there is a specific annual edition where the champion was an inanimate object from a puzzle game rather than a traditional character. Identify this champion and the runner-up they defeated in the grand final. For both finalists, provide the specific game franchise listed as their origin and the exact vote count (or percentage) they received in that final match.
Answer length: 200-300 words.
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- Champion Identified: L-Block
- Runner-up Identified: Cloud Strife
- Logic Validation: Correctly identifies Character Battle VI (2007) based on the 'inanimate object' winner condition.
- Champion's Origin: Tetris
- Runner-up's Origin: Final Fantasy (specifically Final Fantasy VII)
- Champion's Final Vote Count (approx. 24,275) OR Percentage (approx. 54.55%)
- Runner-up's Final Vote Count (approx. 20,225) OR Percentage (approx. 45.45%)
The question uses Deep Logic by masking the entity 'L-Block' behind the description 'inanimate object from a puzzle game,' requiring the agent to reason about tournament history to find the specific year (2007/Battle VI). It uses Wide Logic by requiring the retrieval of specific, scattered details (vote counts and origins) for both the winner and the runner-up, forcing the agent to parse the final match results fully.
Judgment
First, I verified the Deep Logic. The event in question is the GameFAQs Character Battle VI (2007), where the inanimate object 'L-Block' (Tetris) defeated 'Cloud Strife' (Final Fantasy) in the final. Agent A fails the Deep Logic check significantly. It incorrectly identifies the year as 2009 (Battle VIII) and incorrectly identifies the runner-up as 'Geno'. It appears to be hallucinating the match details entirely or conflating them with a different poll. Agent B correctly identifies the Champion (L-Block), the Runner-up (Cloud Strife), and the Year (2007). While Agent B has minor factual errors regarding the specific tournament number (2007 was VI, not VII) and the exact vote percentages (the real margin was wider, approx 54.5% vs 45.5%), it is the only agent to correctly identify the entities involved in the final match. Agent B also follows the formatting constraints much better, using a clear list to present the requested data.
Gemini 2.5 Pro
GPT-5.1
OpenAI