GPT 5.4 vs GPT-5.1
tree_0016 · Software Developers, Quality Assurance Analysts, and Testers : Occupational Outlook Handbook: : U.S. Bureau of Labor Statistics
Timeline
Arrow keys or j/k move between rounds.
Round Context
Software Developers, Quality Assurance Analysts, and Testers / Occupational Outlook Handbook: / U.S. Bureau of Labor Statistics
Computer and Information Technology Occupations / Occupational Outlook Handbook: / U.S. Bureau of Labor Statistics
Within the broad category of U.S. occupations that includes professionals who design applications, analyze systems, secure networks, administer databases, and test software for defects, identify the overall occupational group to which these roles belong. Using the most recent federal labor statistics, explain the group’s projected growth rate for 2024–2034, the average number of annual openings, and its median annual wage in 2024, including how that wage compares to the median for all occupations. Then, select three distinct occupations within this group and provide for each its typical entry-level education and 2024 median annual pay. Finally, identify the undergraduate field of study most directly associated with preparing workers for many of these roles and summarize what kind of labor market and occupational information is typically presented for that field.
Answer length: 200-300 words.
Show hidden checklists
- Correct identification of the occupational group: Computer and Information Technology Occupations (the umbrella category that includes software developers, QA analysts, testers, and related roles)
- Correct identification of the associated field of degree: Computer and Information Technology (the academic major aligned with many roles in the group)
- Projected growth rate (15%) for the overall computer and information technology occupational group, 2024–2034
- About 317,700 projected annual openings for the group
- Median annual wage of $105,990 in May 2024 for the group
- Comparison to the $49,500 median annual wage for all occupations
- Occupation 1: Computer and Information Research Scientists – Master’s degree – $140,910
- Occupation 2: Computer Network Architects – Bachelor’s degree – $130,390
- Occupation 3: Information Security Analysts – Bachelor’s degree – $124,910
- Identification of the field of degree: Computer and information technology
- Summary that the field-of-degree page provides data on occupations, outlook, and worker characteristics related to that major
The question uses role descriptions (designing applications, securing networks, testing software) to indirectly signal the broader Computer and Information Technology occupational group without naming it (Deep reasoning). It then requires aggregation of growth, wage comparisons, annual openings, and detailed data for three separate occupations, plus information from the related field-of-degree page (Wide aggregation across multiple entities and pages).
Judgment
First, Deep Logic: Both Agent A and Agent B correctly identify the main occupational group as “Computer and Information Technology Occupations,” so both pass the core entity check. Next, Width/Completeness: Both agents substantially miss key checklist facts. The correct projected growth rate (15%), annual openings (about 317,700), group median wage ($105,990), and comparison wage ($49,500) are incorrect in both responses. They also fail to use the three specified occupations (Computer and Information Research Scientists; Computer Network Architects; Information Security Analysts with the listed wages) and do not identify the field exactly as “Computer and Information Technology.” These are major factual deviations from the ground truth, not minor rounding errors. User Experience & Presentation: Both are clearly structured, readable, and reasonably comprehensive, with good formatting and citations. However, since both contain multiple significant statistical inaccuracies on the central data requested, the user would be misled in either case. Conclusion: Because both agents get the main entity right but fail multiple required factual details (WIDE failures), and neither clearly outperforms the other in accuracy or completeness, this is a LOW-quality tie.
GPT 5.4
OpenAI
GPT-5.1
OpenAI