TL;DR: We switched YouTubeSummary from GPT-5-mini to GPT-5.4-nano. Early results are better summary quality, sharper insights, and more precise facts, especially on longer videos.
Why we made this change
Our goal is not to produce generic recaps. We want summaries that capture the core argument, preserve important nuance, and stay grounded in what is actually said in the transcript.
After testing GPT-5.4-nano across different categories and video lengths, we believe it performs better than GPT-5-mini for this job. The difference is most visible in long-form content where context can easily drift.
What improves for you
- Better insight extraction: Summaries surface the real takeaways, not just repeated talking points.
- Higher factual precision: Technical terms, claims, and references are captured more accurately.
- Stronger long-range coherence: Early context is carried further into the summary on long videos.
- Cleaner structure: Key points read more like organized notes and less like loose fragments.
Why long videos benefit most
Long interviews, lectures, and podcasts often revisit ideas over 30-120 minutes. With GPT-5.4-nano, we see fewer context drops and better linking between early premises and later conclusions.
In practice, that means less rewatching and less manual cross-checking when you rely on summaries to learn fast.
What stays the same
The overall workflow is unchanged: we still summarize from subtitles and metadata, and subtitle quality still matters. This upgrade is automatic for new summaries.
Looking ahead
This is one step in our ongoing quality work. We will keep tuning prompts, evaluation checks, and formatting so summaries stay concise, useful, and trustworthy as models evolve.
