Background
Code Writing
TypeScript / Next.js
**GPT-4o:** Produced working code 85% of the time. Occasional hallucinations around Next.js App Router conventions. Faster, more confident.
**Claude Sonnet 4:** More conservative, often produced more idiomatic code. Better at explaining *why* something was wrong.
**Winner: GPT-4o** for speed and completion rate; **Claude Sonnet 4** for code quality and explanation.
Python / Data Analysis
**Claude Sonnet 4:** Noticeably better at pandas operations and understanding data pipeline logic. Fewer off-by-one errors.
**Winner: Claude Sonnet 4** for data work specifically.
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Writing Quality
Professional Emails
**GPT-4o:** Tends to be verbose, occasionally corporate-bland.
**Claude Sonnet 4:** More natural, better at matching voice. Could tell it my company's tone and it actually matched it.
**Winner: Claude Sonnet 4** for business writing.
Creative Content
**GPT-4o:** More adventurous with structure. Better at breaking the rules intentionally.
**Claude Sonnet 4:** More consistent tone. Occasionally too cautious.
**Winner: GPT-4o** for creative, experimental content.
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Research Synthesis
Both were given 10 academic abstracts and asked to synthesize themes.
**Claude Sonnet 4:** Better at identifying contradictions between papers. Produced more structured summaries.
**GPT-4o:** Faster, but summaries sometimes felt surface-level.
**Winner: Claude Sonnet 4** for research-intensive tasks.
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Pricing
Both ~$5–7/month for our usage level via OpenRouter. Effectively equivalent.
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Conclusion
| Task | Preferred Model |
|------|----------------|
| Code (speed/completion) | GPT-4o |
| Code (quality/explanation) | Claude Sonnet 4 |
| Business writing | Claude Sonnet 4 |
| Creative content | GPT-4o |
| Research synthesis | Claude Sonnet 4 |
| Brainstorming | Either |
The real answer: use both. They have complementary strengths.