o3 vs Claude Opus 4.6
tree_0016 · Software Developers, Quality Assurance Analysts, and Testers : Occupational Outlook Handbook: : U.S. Bureau of Labor Statistics
Timeline
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Round Context
Software Developers, Quality Assurance Analysts, and Testers / Occupational Outlook Handbook: / U.S. Bureau of Labor Statistics
Computer and Information Systems Managers / Occupational Outlook Handbook: / U.S. Bureau of Labor Statistics
Within the U.S. labor statistics framework, identify the management occupation in the computing field that is projected to grow 15% from 2024 to 2034, typically requires 5 years or more of related work experience, and has a higher 2024 median annual wage than software developers. For this occupation, provide its 2024 median annual wage, projected annual openings, total number of jobs in 2024, and typical entry-level education. Additionally, referring to the federal "Field of Degree" pages, name the specific field of degree most directly aligned with the typical educational background for both this management occupation and software developers, list two other example fields of degree shown alongside it, and state the page’s last modified date.
Answer length: 200-300 words.
Show hidden checklists
- Computer and Information Systems Managers + Identified as the computing management occupation with 15% growth, 5+ years related experience, and higher median pay than software developers
- Field of Degree page (Computer and information technology) + Correctly linked as the relevant academic field aligned with bachelor’s-level computer/IT education
- 2024 median annual wage for the management occupation ($171,200 per year)
- Projected annual openings (55,600 per year)
- Number of jobs in 2024 (667,100)
- Typical entry-level education (Bachelor’s degree)
- Correct field of degree: Computer and information technology
- Two additional example fields listed (e.g., Engineering, Mathematics, Business, etc.)
- Field of Degree page last modified date (August 28, 2025)
The question first uses growth rate, wage comparison, and experience requirements to logically filter to a specific computing management occupation (Deep reasoning). It then requires aggregating multiple data points about that occupation (pay, openings, jobs, education) and combining them with structured information from a separate Field of Degree page, including examples and a modification date (Wide aggregation across distinct but related sources).
Judgment
First, Deep Logic: Both Agent A and Agent B correctly identified the occupation as Computer and Information Systems Managers, satisfying the core entity requirement. So both pass the DEEP check. Second, Width/Completeness: Both agents substantially failed the checklist details. They reported incorrect 2024 median wages (should be $171,200), incorrect projected annual openings (should be 55,600), incorrect 2024 job totals (should be 667,100), and cited the wrong Field of Degree page (should be "Computer and information technology," not "Computer Science"). They also gave incorrect last modified dates (should be August 28, 2025). These are major factual deviations across multiple required data points. Because both agents contain multiple significant factual errors across core statistics and the Field of Degree section, neither satisfies the WIDTH completeness requirement. While both responses are well formatted and readable, accuracy is foundational and both fail extensively on required checklist items. Therefore, this is a LOW-quality tie: both passed Deep Logic but failed heavily on Wide detail aggregation.
o3
OpenAI
Claude Opus 4.6
Anthropic