Claude Opus 4.1 vs GPT 5.4
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
Field of degree / Occupational Outlook Handbook: / U.S. Bureau of Labor Statistics
An occupation is described as having a 2024 median pay of $131,450, typically requiring a bachelor’s degree for entry, involving the design of computer applications or programs as well as the identification and reporting of software defects, and projected to grow 15% from 2024 to 2034. First, identify the broader occupational group to which this role belongs. Then, within that same occupational group, list all the occupations included and provide for each its 2024 median annual pay and typical entry-level education requirement. Finally, name the academic field of degree that corresponds to this occupational group and encompasses preparation for these careers.
Answer length: 200-300 words.
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- Software Developers, Quality Assurance Analysts, and Testers – matches description of $131,450 median pay, bachelor’s degree entry, 15% growth, and software design/defect identification duties
- Broader group correctly identified as Computer and Information Technology Occupations – logical parent category containing the identified role
- Field of degree correctly identified as Computer and Information Technology – academic pathway aligned with the occupational group
- Computer and Information Research Scientists – 2024 median pay ($140,910) – Entry-level education (Master’s degree)
- Computer Network Architects – 2024 median pay ($130,390) – Entry-level education (Bachelor’s degree)
- Computer Programmers – 2024 median pay ($98,670) – Entry-level education (Bachelor’s degree)
- Computer Support Specialists – 2024 median pay ($61,550) – Entry-level education (See How to Become One / varies)
- Computer Systems Analysts – 2024 median pay ($103,790) – Entry-level education (Bachelor’s degree)
- Database Administrators and Architects – 2024 median pay ($123,100) – Entry-level education (Bachelor’s degree)
- Information Security Analysts – 2024 median pay ($124,910) – Entry-level education (Bachelor’s degree)
- Network and Computer Systems Administrators – 2024 median pay ($96,800) – Entry-level education (Bachelor’s degree)
- Software Developers, Quality Assurance Analysts, and Testers – 2024 median pay ($131,450) – Entry-level education (Bachelor’s degree)
- Web Developers and Digital Designers – 2024 median pay ($95,380) – Entry-level education (Bachelor’s degree)
- Academic field of degree identified as Computer and Information Technology
The question uses salary, education, job duties, and growth rate as logical filters to indirectly identify the specific occupation (Deep reasoning). It then requires aggregating median pay and entry-level education data across every occupation within the same broader occupational group, as well as identifying the aligned academic field of degree (Wide aggregation). This ensures both correct entity identification and comprehensive cross-entity data synthesis.
Judgment
First, Deep Logic: Both agents correctly identified the core occupation as “Software Developers, Quality Assurance Analysts, and Testers.” Agent A correctly named the broader group as “Computer and Information Technology Occupations.” Agent B labeled it “Computer Occupations,” which is slightly imprecise relative to the checklist but conceptually aligned. So both largely pass Deep Logic. Second, Width/Completeness: Both agents attempted to list all occupations in the group, but both contain numerous incorrect 2024 median pay figures compared to the ground truth. While some entries are correct (e.g., $131,450; $61,550; $96,800; $124,910 in B), many others are inaccurate in both responses. Therefore, both significantly fail the WIDE accuracy requirement. Third, User Experience & Presentation: Both responses are clearly structured and readable. Agent A uses a clean numbered list and slightly better scannability. Agent B provides more precise role naming (e.g., full combined title) and cites CIP 11 explicitly, which better matches the academic field requirement. However, given the substantial factual inaccuracies in both, neither achieves high-quality execution. Because both agents contain significant factual errors in the detailed pay data (hallucinations across multiple entries), this results in a LOW quality tie rather than a clear winner based on style alone.
Claude Opus 4.1
Anthropic
GPT 5.4
OpenAI