Why your startup needs open models alongside frontier APIs
Every week, I talk with founders who are building at an unbelievable pace. Teams are moving from inception to product-market fit faster than ever, with foundation models wired deeply into their core product workflows.
Yet as startup architectures mature, a clear divide has emerged between teams struggling with margins and those scaling sustainably. The most effective engineering teams have abandoned the one-size-fits-all model strategy.
In the early days of LLMs the default architecture was simple: send every interaction to the largest model available. But as applications move into production, serving millions of people and running autonomous multi-agent workflows, relying on a single frontier model starts to strain in three places:
- Latency penalties: Relying entirely on cloud round trips makes it difficult to deliver the sub-second responsiveness that interactive mobile and desktop apps require.
- Infrastructure overhead: Self-hosting large open models with more than 70 billion parameters forces early-stage teams to act...
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