Why AI Model Prices Keep Falling

Stacked Podcast 32:15
0 comments · 0 votesOpen discussion
Video summary

Jack Roberts and Nick Saraev discuss OpenAI's temporary GPT-5.6 price reduction as evidence of intensifying competition. They expect lower inference costs to expand practical usage, while noting that routing systems increasingly let applications switch providers based on cost and expected performance.

Jack Roberts and Nick Saraev examine the free Ox Alpha preview and distinguish experimentation from production adoption. They argue that an anonymous model can be useful for testing, but provider identity still matters when reliability, governance, data handling and long-term pricing are unknown.

Jack Roberts and Nick Saraev describe a rapidly narrowing gap between open and closed models. They frame model selection around performance, price, speed and privacy, with local deployment most important for organizations whose compliance or data-control requirements make it necessary.

Original YouTube thumbnailWatch on YouTube