What Startups Should Prioritize
Cost efficiency at low initial volume, flexibility to switch as your product and usage evolve, and avoiding over-engineering around a specific model too early — see our Cheapest LLM API roundup for budget-conscious options.
Avoiding Premature Lock-In
Building your application in a way that makes switching models later relatively easy (through an abstraction layer or careful prompt design) protects you from being stuck with an early choice as your needs and the model landscape both evolve.
Related Pages
Frequently Asked
Should a startup use the most capable, expensive model?
Not by default — start with a cost-effective option sufficient for your current stage, and upgrade as usage and requirements genuinely justify it.
Is open-weight a good fit for an early-stage startup?
It can reduce per-token costs at scale, though it adds infrastructure complexity — weigh this against your team's technical capacity.
How do I avoid getting locked into one provider?
Design your application with some abstraction between your product logic and the specific model API where practical.
Where can I find the most cost-effective options?
See our Cheapest LLM and Cheapest LLM API roundups.