{
  "evaluation_id": "EVAL-20260315-031910",
  "question_id": "EVAL-20260315-031910",
  "question_text": "Write a Python function that returns the second largest value from a list of integers. Handle edge cases.",
  "category": "code",
  "timestamp": "2026-03-15T03:19:10.764Z",
  "display_date": "Mar 15, 2026",
  "winner": {
    "name": "Qwen 3 32B",
    "provider": "openrouter",
    "score": 9.66
  },
  "avg_score": 9.262,
  "matrix_size": 79,
  "models_used": [
    {
      "id": "kimi_k25",
      "name": "Kimi K2.5",
      "provider": "openrouter"
    },
    {
      "id": "gemma3_27b",
      "name": "Gemma 3 27B",
      "provider": "openrouter"
    },
    {
      "id": "llama4_scout",
      "name": "Llama 4 Scout",
      "provider": "openrouter"
    },
    {
      "id": "phi4",
      "name": "Phi-4 14B",
      "provider": "openrouter"
    },
    {
      "id": "granite_40",
      "name": "Granite 4.0 Micro",
      "provider": "openrouter"
    },
    {
      "id": "qwen3_8b",
      "name": "Qwen 3 8B",
      "provider": "openrouter"
    },
    {
      "id": "llama31_8b",
      "name": "Llama 3.1 8B",
      "provider": "openrouter"
    },
    {
      "id": "qwen3_32b",
      "name": "Qwen 3 32B",
      "provider": "openrouter"
    },
    {
      "id": "mistral_nemo",
      "name": "Mistral Nemo 12B",
      "provider": "openrouter"
    },
    {
      "id": "devstral",
      "name": "Devstral Small",
      "provider": "openrouter"
    }
  ],
  "rankings": {
    "qwen3_32b": {
      "display_name": "Qwen 3 32B",
      "provider": "openrouter",
      "average_score": 9.66,
      "score_count": 8,
      "min_score": 9.25,
      "max_score": 10,
      "rank": 1
    },
    "kimi_k25": {
      "display_name": "Kimi K2.5",
      "provider": "openrouter",
      "average_score": 9.52,
      "score_count": 9,
      "min_score": 8.8,
      "max_score": 9.8,
      "rank": 2
    },
    "granite_40": {
      "display_name": "Granite 4.0 Micro",
      "provider": "openrouter",
      "average_score": 9.38,
      "score_count": 8,
      "min_score": 8.9,
      "max_score": 9.8,
      "rank": 3
    },
    "gemma3_27b": {
      "display_name": "Gemma 3 27B",
      "provider": "openrouter",
      "average_score": 9.34,
      "score_count": 8,
      "min_score": 8.8,
      "max_score": 9.6,
      "rank": 4
    },
    "qwen3_8b": {
      "display_name": "Qwen 3 8B",
      "provider": "openrouter",
      "average_score": 9.24,
      "score_count": 8,
      "min_score": 8.6,
      "max_score": 9.6,
      "rank": 5
    },
    "llama4_scout": {
      "display_name": "Llama 4 Scout",
      "provider": "openrouter",
      "average_score": 9.19,
      "score_count": 8,
      "min_score": 8.6,
      "max_score": 9.6,
      "rank": 6
    },
    "llama31_8b": {
      "display_name": "Llama 3.1 8B",
      "provider": "openrouter",
      "average_score": 9.13,
      "score_count": 8,
      "min_score": 8.45,
      "max_score": 9.6,
      "rank": 7
    },
    "devstral": {
      "display_name": "Devstral Small",
      "provider": "openrouter",
      "average_score": 9.11,
      "score_count": 7,
      "min_score": 8.4,
      "max_score": 9.8,
      "rank": 8
    },
    "mistral_nemo": {
      "display_name": "Mistral Nemo 12B",
      "provider": "openrouter",
      "average_score": 9.09,
      "score_count": 7,
      "min_score": 8.2,
      "max_score": 9.6,
      "rank": 9
    },
    "phi4": {
      "display_name": "Phi-4 14B",
      "provider": "openrouter",
      "average_score": 8.96,
      "score_count": 8,
      "min_score": 8.4,
      "max_score": 9.6,
      "rank": 10
    }
  },
  "judgments": [
    {
      "judge_key": "qwen3_32b",
      "judge_name": "Qwen 3 32B",
      "respondent_key": "kimi_k25",
      "respondent_name": "Kimi K2.5",
      "weighted_score": 9.55,
      "brief_justification": "The solution correctly handles edge cases like empty lists, single elements, and duplicates with clear explanations. It provides two approaches with different trade-offs (O(n) vs O(n log n)), includes thorough validation, and demonstrates practical usage examples. The only minor correctness issue is that the second function's error message could be more specific about numeric type requirements."
    },
    {
      "judge_key": "qwen3_32b",
      "judge_name": "Qwen 3 32B",
      "respondent_key": "gemma3_27b",
      "respondent_name": "Gemma 3 27B",
      "weighted_score": 9.25,
      "brief_justification": "The function correctly handles edge cases like empty lists, single-element lists, and lists with all elements equal. It uses set and sorted efficiently, but the approach has O(n log n) time complexity which is less optimal than a single-pass solution for large datasets."
    },
    {
      "judge_key": "qwen3_32b",
      "judge_name": "Qwen 3 32B",
      "respondent_key": "llama4_scout",
      "respondent_name": "Llama 4 Scout",
      "weighted_score": 8.6,
      "brief_justification": "The function correctly handles edge cases like empty lists, single elements, and non-list inputs. However, it returns the second largest unique value, which may differ from the second largest element in the original list if duplicates exist. The code is clear, well-documented, and practical for the intended use case."
    },
    {
      "judge_key": "qwen3_32b",
      "judge_name": "Qwen 3 32B",
      "respondent_key": "phi4",
      "respondent_name": "Phi-4 14B",
      "weighted_score": 9,
      "brief_justification": "The function correctly handles edge cases like insufficient elements or duplicates by raising ValueErrors. It uses a set to remove duplicates and sorts to find the second largest. However, converting to a set may not be the most efficient approach for large lists, though logically sound."
    },
    {
      "judge_key": "qwen3_32b",
      "judge_name": "Qwen 3 32B",
      "respondent_key": "granite_40",
      "respondent_name": "Granite 4.0 Micro",
      "weighted_score": 9.8,
      "brief_justification": "The function correctly handles all edge cases with clear logic. It uses an efficient O(n) approach to track the two largest distinct values, properly handles duplicates, and returns None for invalid inputs. The code is well-documented and production-ready."
    },
    {
      "judge_key": "qwen3_32b",
      "judge_name": "Qwen 3 32B",
      "respondent_key": "qwen3_8b",
      "respondent_name": "Qwen 3 8B",
      "weighted_score": 9,
      "brief_justification": "The solution correctly handles edge cases and duplicates by sorting the list. It is clear and well-documented but could improve by mentioning a more efficient O(n) approach for large datasets. The examples and explanations are thorough and practical."
    },
    {
      "judge_key": "qwen3_32b",
      "judge_name": "Qwen 3 32B",
      "respondent_key": "llama31_8b",
      "respondent_name": "Llama 3.1 8B",
      "weighted_score": 9.35,
      "brief_justification": "The function correctly handles all edge cases with clear error handling and documentation. It properly identifies the second largest value but uses an O(n log n) sorting approach rather than a more optimal O(n) solution. The implementation is complete and well-explained but lacks an alternative efficient algorithm."
    },
    {
      "judge_key": "devstral",
      "judge_name": "Devstral Small",
      "respondent_key": "qwen3_32b",
      "respondent_name": "Qwen 3 32B",
      "weighted_score": 9.4,
      "brief_justification": "The response provides a clear, correct, and complete solution with edge case handling and test cases."
    },
    {
      "judge_key": "devstral",
      "judge_name": "Devstral Small",
      "respondent_key": "kimi_k25",
      "respondent_name": "Kimi K2.5",
      "weighted_score": 9.8,
      "brief_justification": "The solution is correct, handles all edge cases, and provides clear documentation and examples. The alternative approach is also included for comparison."
    },
    {
      "judge_key": "devstral",
      "judge_name": "Devstral Small",
      "respondent_key": "gemma3_27b",
      "respondent_name": "Gemma 3 27B",
      "weighted_score": 9.4,
      "brief_justification": "The function is correct, handles all edge cases, and is well-documented. It could be slightly improved by adding type hints for better clarity."
    },
    {
      "judge_key": "devstral",
      "judge_name": "Devstral Small",
      "respondent_key": "llama4_scout",
      "respondent_name": "Llama 4 Scout",
      "weighted_score": 9.6,
      "brief_justification": "The function is correct, handles edge cases well, and is clearly explained. It could be slightly optimized for very large lists."
    },
    {
      "judge_key": "devstral",
      "judge_name": "Devstral Small",
      "respondent_key": "phi4",
      "respondent_name": "Phi-4 14B",
      "weighted_score": 8.8,
      "brief_justification": "The response provides a correct and complete solution with clear explanations and handles edge cases well."
    },
    {
      "judge_key": "devstral",
      "judge_name": "Devstral Small",
      "respondent_key": "granite_40",
      "respondent_name": "Granite 4.0 Micro",
      "weighted_score": 9.4,
      "brief_justification": "The function is correct, handles all edge cases, and is well-explained. The code is clear and useful for practical applications."
    },
    {
      "judge_key": "devstral",
      "judge_name": "Devstral Small",
      "respondent_key": "qwen3_8b",
      "respondent_name": "Qwen 3 8B",
      "weighted_score": 9.6,
      "brief_justification": "The response provides a clear, correct, and complete solution with edge case handling and examples."
    },
    {
      "judge_key": "devstral",
      "judge_name": "Devstral Small",
      "respondent_key": "mistral_nemo",
      "respondent_name": "Mistral Nemo 12B",
      "weighted_score": 9.6,
      "brief_justification": "The function is correct, handles edge cases well, and is clearly explained with examples."
    },
    {
      "judge_key": "devstral",
      "judge_name": "Devstral Small",
      "respondent_key": "llama31_8b",
      "respondent_name": "Llama 3.1 8B",
      "weighted_score": 9.45,
      "brief_justification": "The function is correct, handles edge cases, and is well-explained. It could be improved with a more efficient algorithm for large lists."
    },
    {
      "judge_key": "gemma3_27b",
      "judge_name": "Gemma 3 27B",
      "respondent_key": "qwen3_32b",
      "respondent_name": "Qwen 3 32B",
      "weighted_score": 9.8,
      "brief_justification": "The response provides a correct, complete, and clearly explained solution with excellent edge case handling. The depth is slightly less than perfect as it doesn't explore alternative approaches, but the chosen approach is highly efficient."
    },
    {
      "judge_key": "gemma3_27b",
      "judge_name": "Gemma 3 27B",
      "respondent_key": "kimi_k25",
      "respondent_name": "Kimi K2.5",
      "weighted_score": 9.8,
      "brief_justification": "The response provides a correct, efficient, and well-documented solution with comprehensive edge case handling and clear explanations. The inclusion of an alternative approach and detailed test cases further enhances its usefulness."
    },
    {
      "judge_key": "gemma3_27b",
      "judge_name": "Gemma 3 27B",
      "respondent_key": "devstral",
      "respondent_name": "Devstral Small",
      "weighted_score": 9.6,
      "brief_justification": "The code is correct, handles edge cases effectively, and is well-explained with clear comments and an example. The explanation provides good insight into the algorithm's logic, though a discussion of time complexity could add further depth."
    },
    {
      "judge_key": "gemma3_27b",
      "judge_name": "Gemma 3 27B",
      "respondent_key": "llama4_scout",
      "respondent_name": "Llama 4 Scout",
      "weighted_score": 9.4,
      "brief_justification": "The code is correct, handles edge cases effectively, and is well-documented with a clear explanation and example usage. While the solution is good, it doesn't explore alternative approaches for efficiency (e.g., iterating through the list only once)."
    },
    {
      "judge_key": "gemma3_27b",
      "judge_name": "Gemma 3 27B",
      "respondent_key": "phi4",
      "respondent_name": "Phi-4 14B",
      "weighted_score": 9.4,
      "brief_justification": "The code correctly identifies the second largest number, handles edge cases effectively with clear error messages, and is well-explained. While efficient, exploring alternative approaches (e.g., iterating twice) could add depth."
    },
    {
      "judge_key": "gemma3_27b",
      "judge_name": "Gemma 3 27B",
      "respondent_key": "granite_40",
      "respondent_name": "Granite 4.0 Micro",
      "weighted_score": 9.2,
      "brief_justification": "The code is correct, handles edge cases well, and is clearly explained. While the explanation is good, a discussion of time complexity could add more depth."
    },
    {
      "judge_key": "gemma3_27b",
      "judge_name": "Gemma 3 27B",
      "respondent_key": "qwen3_8b",
      "respondent_name": "Qwen 3 8B",
      "weighted_score": 9.05,
      "brief_justification": "The response provides a correct, clear, and well-explained solution with good edge case handling and examples. While the explanation is thorough, it doesn't explore alternative approaches (e.g., iterating through the list to find the two largest values without sorting) which would increase the depth."
    },
    {
      "judge_key": "gemma3_27b",
      "judge_name": "Gemma 3 27B",
      "respondent_key": "mistral_nemo",
      "respondent_name": "Mistral Nemo 12B",
      "weighted_score": 9.2,
      "brief_justification": "The code is correct, handles edge cases effectively, and is well-explained with comments and examples. While functional, a more concise solution using sorting or sets could be considered for increased efficiency, but this approach prioritizes clarity."
    },
    {
      "judge_key": "gemma3_27b",
      "judge_name": "Gemma 3 27B",
      "respondent_key": "llama31_8b",
      "respondent_name": "Llama 3.1 8B",
      "weighted_score": 9.6,
      "brief_justification": "The code is correct, handles edge cases well, is clearly explained, and provides example use cases. The note about time complexity and potential optimizations adds valuable depth."
    },
    {
      "judge_key": "llama4_scout",
      "judge_name": "Llama 4 Scout",
      "respondent_key": "qwen3_32b",
      "respondent_name": "Qwen 3 32B",
      "weighted_score": 10,
      "brief_justification": "The response provides a comprehensive and accurate solution to the problem, including a clear definition of the second largest value, an efficient approach, and thorough coverage of edge cases."
    },
    {
      "judge_key": "llama4_scout",
      "judge_name": "Llama 4 Scout",
      "respondent_key": "kimi_k25",
      "respondent_name": "Kimi K2.5",
      "weighted_score": 9.8,
      "brief_justification": "The response provides a well-structured, readable, and efficient solution to the problem. It handles various edge cases and provides clear documentation and examples."
    },
    {
      "judge_key": "llama4_scout",
      "judge_name": "Llama 4 Scout",
      "respondent_key": "devstral",
      "respondent_name": "Devstral Small",
      "weighted_score": 9.25,
      "brief_justification": "The response provides a correct and complete solution to the problem, handling edge cases properly. The code is clear and well-structured, but could benefit from additional insights or optimizations for depth."
    },
    {
      "judge_key": "llama4_scout",
      "judge_name": "Llama 4 Scout",
      "respondent_key": "gemma3_27b",
      "respondent_name": "Gemma 3 27B",
      "weighted_score": 9.6,
      "brief_justification": "The response is factually accurate, thorough, clear, and provides a practical solution with well-handled edge cases."
    },
    {
      "judge_key": "llama4_scout",
      "judge_name": "Llama 4 Scout",
      "respondent_key": "phi4",
      "respondent_name": "Phi-4 14B",
      "weighted_score": 8.4,
      "brief_justification": "The response correctly handles edge cases and provides a clear function to find the second largest value in a list of integers. However, it could be more efficient for large lists."
    },
    {
      "judge_key": "llama4_scout",
      "judge_name": "Llama 4 Scout",
      "respondent_key": "granite_40",
      "respondent_name": "Granite 4.0 Micro",
      "weighted_score": 9.25,
      "brief_justification": "The function is factually accurate, thorough, and well-structured. It provides insightful analysis by handling edge cases and has practical value."
    },
    {
      "judge_key": "llama4_scout",
      "judge_name": "Llama 4 Scout",
      "respondent_key": "qwen3_8b",
      "respondent_name": "Qwen 3 8B",
      "weighted_score": 9.6,
      "brief_justification": "The response provides a clear, correct, and complete solution to the problem. It handles edge cases effectively and provides example use cases for clarity."
    },
    {
      "judge_key": "llama4_scout",
      "judge_name": "Llama 4 Scout",
      "respondent_key": "mistral_nemo",
      "respondent_name": "Mistral Nemo 12B",
      "weighted_score": 9.25,
      "brief_justification": "The function correctly handles edge cases and provides a clear solution to the problem. The code is well-structured and easy to understand, but could benefit from additional comments for deeper insight."
    },
    {
      "judge_key": "llama4_scout",
      "judge_name": "Llama 4 Scout",
      "respondent_key": "llama31_8b",
      "respondent_name": "Llama 3.1 8B",
      "weighted_score": 9.25,
      "brief_justification": "The response provides a correct and complete Python function that handles edge cases, with clear documentation and example use cases. The code is well-structured, but could benefit from additional optimization for large lists."
    },
    {
      "judge_key": "phi4",
      "judge_name": "Phi-4 14B",
      "respondent_key": "qwen3_32b",
      "respondent_name": "Qwen 3 32B",
      "weighted_score": 9.8,
      "brief_justification": "The response accurately defines and implements the function to find the second largest unique value, handling all edge cases effectively. The explanation is clear and thorough, with practical examples and a well-structured approach."
    },
    {
      "judge_key": "phi4",
      "judge_name": "Phi-4 14B",
      "respondent_key": "kimi_k25",
      "respondent_name": "Kimi K2.5",
      "weighted_score": 9.8,
      "brief_justification": "The response provides a correct, complete, and clear solution with efficient handling of edge cases. It also offers an alternative approach for different contexts, demonstrating depth and practical value."
    },
    {
      "judge_key": "phi4",
      "judge_name": "Phi-4 14B",
      "respondent_key": "devstral",
      "respondent_name": "Devstral Small",
      "weighted_score": 8.4,
      "brief_justification": "The function correctly handles edge cases and returns the second largest value. It uses negative infinity for initialization, which is a valid approach. The function is clear and well-structured, but it could be improved by handling lists with duplicate largest values more explicitly."
    },
    {
      "judge_key": "phi4",
      "judge_name": "Phi-4 14B",
      "respondent_key": "gemma3_27b",
      "respondent_name": "Gemma 3 27B",
      "weighted_score": 9.6,
      "brief_justification": "The response correctly implements the function with comprehensive handling of edge cases, clear explanation, and practical examples. It could delve deeper into time complexity analysis for further depth."
    },
    {
      "judge_key": "phi4",
      "judge_name": "Phi-4 14B",
      "respondent_key": "llama4_scout",
      "respondent_name": "Llama 4 Scout",
      "weighted_score": 9.6,
      "brief_justification": "The response provides a correct and complete implementation of the function, handling edge cases effectively. It is clear and well-structured, with practical examples demonstrating usage. The depth is slightly limited as it does not explore alternative approaches or optimizations."
    },
    {
      "judge_key": "phi4",
      "judge_name": "Phi-4 14B",
      "respondent_key": "granite_40",
      "respondent_name": "Granite 4.0 Micro",
      "weighted_score": 9.45,
      "brief_justification": "The function correctly handles edge cases and returns the second largest value using a clear and logical approach. It provides practical value by addressing common scenarios like empty lists and lists with identical elements. The depth is slightly limited as it assumes all elements are distinct, which could be further clarified."
    },
    {
      "judge_key": "phi4",
      "judge_name": "Phi-4 14B",
      "respondent_key": "qwen3_8b",
      "respondent_name": "Qwen 3 8B",
      "weighted_score": 9.6,
      "brief_justification": "The response provides a correct and efficient Python function to find the second largest value in a list of integers, handling edge cases such as lists with fewer than two elements and lists with duplicate values. The explanation is clear and well-structured, with examples demonstrating the function's practical use."
    },
    {
      "judge_key": "phi4",
      "judge_name": "Phi-4 14B",
      "respondent_key": "mistral_nemo",
      "respondent_name": "Mistral Nemo 12B",
      "weighted_score": 9.6,
      "brief_justification": "The function correctly identifies the second largest value in a list of integers and handles edge cases such as empty lists and lists with duplicate values. The code is clear and well-structured, providing practical value by returning None for lists with fewer than two unique values."
    },
    {
      "judge_key": "phi4",
      "judge_name": "Phi-4 14B",
      "respondent_key": "llama31_8b",
      "respondent_name": "Llama 3.1 8B",
      "weighted_score": 9,
      "brief_justification": "The function correctly handles edge cases, such as empty lists and lists with fewer than two unique values, and provides clear documentation and examples. The implementation is straightforward and efficient for most use cases, but there is a mention of a more efficient algorithm for large lists, which adds depth."
    },
    {
      "judge_key": "granite_40",
      "judge_name": "Granite 4.0 Micro",
      "respondent_key": "qwen3_32b",
      "respondent_name": "Qwen 3 32B",
      "weighted_score": 9.25,
      "brief_justification": "The response accurately defines the problem, covers all edge cases, provides an efficient single-pass algorithm, includes comprehensive test cases, and presents clear, well-structured Python code."
    },
    {
      "judge_key": "granite_40",
      "judge_name": "Granite 4.0 Micro",
      "respondent_key": "kimi_k25",
      "respondent_name": "Kimi K2.5",
      "weighted_score": 8.8,
      "brief_justification": "The response accurately implements an O(n) solution with clear edge case handling, includes type validation, and provides multiple approaches and usage examples, though depth could be slightly higher by discussing time/space trade-offs in more detail."
    },
    {
      "judge_key": "granite_40",
      "judge_name": "Granite 4.0 Micro",
      "respondent_key": "devstral",
      "respondent_name": "Devstral Small",
      "weighted_score": 8.6,
      "brief_justification": "The response accurately addresses the question, handles edge cases, and is well-structured with clear explanations, though it could delve deeper into the logic behind handling identical elements."
    },
    {
      "judge_key": "granite_40",
      "judge_name": "Granite 4.0 Micro",
      "respondent_key": "gemma3_27b",
      "respondent_name": "Gemma 3 27B",
      "weighted_score": 8.8,
      "brief_justification": "The response accurately addresses the question, handles edge cases, is well-structured, and provides a clear, efficient solution with minor room for deeper analysis of alternative approaches."
    },
    {
      "judge_key": "granite_40",
      "judge_name": "Granite 4.0 Micro",
      "respondent_key": "llama4_scout",
      "respondent_name": "Llama 4 Scout",
      "weighted_score": 8.6,
      "brief_justification": "The response accurately describes a Python function to find the second largest value, covers edge cases, and provides clear code with examples. Depth could be higher with more nuanced analysis of edge cases and alternative approaches."
    },
    {
      "judge_key": "granite_40",
      "judge_name": "Granite 4.0 Micro",
      "respondent_key": "phi4",
      "respondent_name": "Phi-4 14B",
      "weighted_score": 8.6,
      "brief_justification": "The response accurately addresses the problem, handles edge cases, and provides clear, well-structured code with good explanations, though it could delve deeper into the rationale behind using a set and sorting for finding the second largest value."
    },
    {
      "judge_key": "granite_40",
      "judge_name": "Granite 4.0 Micro",
      "respondent_key": "qwen3_8b",
      "respondent_name": "Qwen 3 8B",
      "weighted_score": 8.6,
      "brief_justification": "The response accurately describes a correct and efficient algorithm for finding the second largest integer, handles edge cases, and provides clear examples, though it could delve deeper into time/space complexity analysis."
    },
    {
      "judge_key": "granite_40",
      "judge_name": "Granite 4.0 Micro",
      "respondent_key": "mistral_nemo",
      "respondent_name": "Mistral Nemo 12B",
      "weighted_score": 8.6,
      "brief_justification": "The response accurately implements the logic to find the second largest integer while handling edge cases like empty lists and lists with only one unique value. It is clear and well-structured, though the depth could be increased by discussing time/space complexity and alternative approaches."
    },
    {
      "judge_key": "granite_40",
      "judge_name": "Granite 4.0 Micro",
      "respondent_key": "llama31_8b",
      "respondent_name": "Llama 3.1 8B",
      "weighted_score": 8.45,
      "brief_justification": "The response accurately addresses the question, covers edge cases, is well-structured, and provides a clear explanation with example usage, though it could delve deeper into alternative approaches for efficiency."
    },
    {
      "judge_key": "qwen3_8b",
      "judge_name": "Qwen 3 8B",
      "respondent_key": "qwen3_32b",
      "respondent_name": "Qwen 3 32B",
      "weighted_score": 9.8,
      "brief_justification": "The response provides a correct, efficient solution with thorough edge case handling and clear explanations, though it could briefly compare with alternative approaches for deeper analysis."
    },
    {
      "judge_key": "qwen3_8b",
      "judge_name": "Qwen 3 8B",
      "respondent_key": "kimi_k25",
      "respondent_name": "Kimi K2.5",
      "weighted_score": 9.8,
      "brief_justification": "The response provides a correct, efficient solution with thorough edge case handling and alternative approaches. It clearly explains implementation details and trade-offs, making it highly practical and educational."
    },
    {
      "judge_key": "qwen3_8b",
      "judge_name": "Qwen 3 8B",
      "respondent_key": "devstral",
      "respondent_name": "Devstral Small",
      "weighted_score": 9.8,
      "brief_justification": "The function correctly handles edge cases and logic for finding the second largest value. The explanation is thorough and well-structured, though deeper analysis of alternative approaches could enhance depth."
    },
    {
      "judge_key": "qwen3_8b",
      "judge_name": "Qwen 3 8B",
      "respondent_key": "gemma3_27b",
      "respondent_name": "Gemma 3 27B",
      "weighted_score": 9.6,
      "brief_justification": "The function correctly handles all edge cases and provides clear, well-documented code. It uses an efficient approach with set and sorting, though a single-pass max tracking method could offer better performance. The implementation is practical and actionable."
    },
    {
      "judge_key": "qwen3_8b",
      "judge_name": "Qwen 3 8B",
      "respondent_key": "llama4_scout",
      "respondent_name": "Llama 4 Scout",
      "weighted_score": 9.4,
      "brief_justification": "The function correctly handles all edge cases and is well-documented, but the approach using set and sorting is not the most optimal for large datasets."
    },
    {
      "judge_key": "qwen3_8b",
      "judge_name": "Qwen 3 8B",
      "respondent_key": "phi4",
      "respondent_name": "Phi-4 14B",
      "weighted_score": 9.6,
      "brief_justification": "The function correctly handles edge cases and returns the second largest value. It is well-structured and clear, though a more efficient approach without sorting could exist."
    },
    {
      "judge_key": "qwen3_8b",
      "judge_name": "Qwen 3 8B",
      "respondent_key": "granite_40",
      "respondent_name": "Granite 4.0 Micro",
      "weighted_score": 9.6,
      "brief_justification": "The function correctly handles edge cases and uses a clear approach. It is complete and practical but lacks deeper optimization insights."
    },
    {
      "judge_key": "qwen3_8b",
      "judge_name": "Qwen 3 8B",
      "respondent_key": "mistral_nemo",
      "respondent_name": "Mistral Nemo 12B",
      "weighted_score": 9.2,
      "brief_justification": "The function correctly handles all specified edge cases and provides a clear implementation. It lacks deeper analysis but is practical and well-structured."
    },
    {
      "judge_key": "qwen3_8b",
      "judge_name": "Qwen 3 8B",
      "respondent_key": "llama31_8b",
      "respondent_name": "Llama 3.1 8B",
      "weighted_score": 9.25,
      "brief_justification": "The function correctly handles edge cases and edge cases with duplicates, with clear explanations. The note about time complexity adds valuable context."
    },
    {
      "judge_key": "mistral_nemo",
      "judge_name": "Mistral Nemo 12B",
      "respondent_key": "qwen3_32b",
      "respondent_name": "Qwen 3 32B",
      "weighted_score": 10,
      "brief_justification": "The response perfectly defines the problem, provides a clear and efficient solution, handles all edge cases, and includes test cases for verification. The explanation is detailed, clear, and well-structured."
    },
    {
      "judge_key": "mistral_nemo",
      "judge_name": "Mistral Nemo 12B",
      "respondent_key": "kimi_k25",
      "respondent_name": "Kimi K2.5",
      "weighted_score": 9.05,
      "brief_justification": "The response provides a well-commented, efficient solution with clear edge case handling. It lacks a bit in depth as it doesn't discuss potential improvements or trade-offs, but it's otherwise excellent."
    },
    {
      "judge_key": "mistral_nemo",
      "judge_name": "Mistral Nemo 12B",
      "respondent_key": "devstral",
      "respondent_name": "Devstral Small",
      "weighted_score": 8.7,
      "brief_justification": "The response provides a correct and comprehensive Python function with clear structure and good edge case handling. It offers practical value and could be useful in various scenarios. However, it lacks some depth in terms of explaining the algorithm's logic or providing additional insights."
    },
    {
      "judge_key": "mistral_nemo",
      "judge_name": "Mistral Nemo 12B",
      "respondent_key": "gemma3_27b",
      "respondent_name": "Gemma 3 27B",
      "weighted_score": 9.25,
      "brief_justification": "The response provides a complete and correct Python function with clear comments and handles all edge cases. It also includes a detailed explanation of how the function works, demonstrating depth. However, it's slightly less useful for practical application as it's more focused on explaining the process rather than providing a quick, ready-to-use function."
    },
    {
      "judge_key": "mistral_nemo",
      "judge_name": "Mistral Nemo 12B",
      "respondent_key": "llama4_scout",
      "respondent_name": "Llama 4 Scout",
      "weighted_score": 9.25,
      "brief_justification": "The response provides a comprehensive Python function that accurately solves the problem, handles edge cases, and is well-documented. However, it lacks additional insights or optimizations that could be considered in a more in-depth response."
    },
    {
      "judge_key": "mistral_nemo",
      "judge_name": "Mistral Nemo 12B",
      "respondent_key": "phi4",
      "respondent_name": "Phi-4 14B",
      "weighted_score": 9.45,
      "brief_justification": "The response provides a correct, complete, and clear Python function that handles edge cases. It demonstrates depth by considering various scenarios and usefulness by providing a practical solution with examples."
    },
    {
      "judge_key": "mistral_nemo",
      "judge_name": "Mistral Nemo 12B",
      "respondent_key": "granite_40",
      "respondent_name": "Granite 4.0 Micro",
      "weighted_score": 8.9,
      "brief_justification": "The function is correct and handles all mentioned edge cases. It's also quite complete and clear, but it could provide more context or examples for 'depth'. It's useful for finding the second largest number in a list."
    },
    {
      "judge_key": "mistral_nemo",
      "judge_name": "Mistral Nemo 12B",
      "respondent_key": "qwen3_8b",
      "respondent_name": "Qwen 3 8B",
      "weighted_score": 9.25,
      "brief_justification": "The response provides a clear, well-explained solution with edge case handling, examples, and a Python implementation. It lacks slightly in depth as it doesn't discuss time complexity or other potential optimizations."
    },
    {
      "judge_key": "mistral_nemo",
      "judge_name": "Mistral Nemo 12B",
      "respondent_key": "llama31_8b",
      "respondent_name": "Llama 3.1 8B",
      "weighted_score": 8.7,
      "brief_justification": "The function is correct, handles edge cases, and is well-documented. It's almost complete, but could mention what happens if the list has less than 2 unique values but more than 1. It's clear and well-structured, but the explanation could be more concise. It provides good depth with an efficient alternative mentioned, and is quite useful with clear examples."
    },
    {
      "judge_key": "llama31_8b",
      "judge_name": "Llama 3.1 8B",
      "respondent_key": "qwen3_32b",
      "respondent_name": "Qwen 3 32B",
      "weighted_score": 9.25,
      "brief_justification": "The response provides a clear and well-structured explanation of the problem and solution, with a thorough analysis of edge cases and a concise implementation in Python."
    },
    {
      "judge_key": "llama31_8b",
      "judge_name": "Llama 3.1 8B",
      "respondent_key": "kimi_k25",
      "respondent_name": "Kimi K2.5",
      "weighted_score": 9.25,
      "brief_justification": "The response provides a correct and robust solution with clear explanations, handles edge cases, and includes alternative approaches for comparison."
    },
    {
      "judge_key": "llama31_8b",
      "judge_name": "Llama 3.1 8B",
      "respondent_key": "devstral",
      "respondent_name": "Devstral Small",
      "weighted_score": 9.4,
      "brief_justification": "The function accurately identifies the second largest value and handles edge cases effectively, providing a useful solution for the problem."
    },
    {
      "judge_key": "llama31_8b",
      "judge_name": "Llama 3.1 8B",
      "respondent_key": "gemma3_27b",
      "respondent_name": "Gemma 3 27B",
      "weighted_score": 9.25,
      "brief_justification": "The code correctly handles edge cases, is efficient, and well-structured, but could be improved with more depth in its analysis and a slightly higher score for clarity."
    },
    {
      "judge_key": "llama31_8b",
      "judge_name": "Llama 3.1 8B",
      "respondent_key": "llama4_scout",
      "respondent_name": "Llama 4 Scout",
      "weighted_score": 9.05,
      "brief_justification": "The function accurately implements the second largest value logic, handles edge cases, and includes clear documentation and example usage, but could benefit from a more detailed explanation of the edge case handling."
    },
    {
      "judge_key": "llama31_8b",
      "judge_name": "Llama 3.1 8B",
      "respondent_key": "phi4",
      "respondent_name": "Phi-4 14B",
      "weighted_score": 8.4,
      "brief_justification": "The function correctly handles edge cases, but could be improved with more efficient duplicate removal and error handling."
    },
    {
      "judge_key": "llama31_8b",
      "judge_name": "Llama 3.1 8B",
      "respondent_key": "granite_40",
      "respondent_name": "Granite 4.0 Micro",
      "weighted_score": 9.4,
      "brief_justification": "The function correctly handles edge cases and provides a clear implementation of the second largest value algorithm, but could benefit from additional comments for clarity."
    },
    {
      "judge_key": "llama31_8b",
      "judge_name": "Llama 3.1 8B",
      "respondent_key": "qwen3_8b",
      "respondent_name": "Qwen 3 8B",
      "weighted_score": 9.2,
      "brief_justification": "The response provides a clear and concise explanation of the approach, implementation, and edge cases, with a well-structured code snippet and example use cases."
    },
    {
      "judge_key": "llama31_8b",
      "judge_name": "Llama 3.1 8B",
      "respondent_key": "mistral_nemo",
      "respondent_name": "Mistral Nemo 12B",
      "weighted_score": 8.2,
      "brief_justification": "The function correctly handles edge cases, but could be improved with more concise and Pythonic code."
    }
  ],
  "meta": {
    "source": "The Multivac (app.themultivac.com)",
    "methodology": "10x10 blind peer matrix evaluation",
    "criteria": "correctness, completeness, clarity, depth, usefulness",
    "self_judgments": "excluded from rankings",
    "license": "Open data — cite as: The Multivac (2026)"
  }
}