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Everything is interchangeable, mix & match to suit your usecase.
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<Accordion title="Why is Vapi best in class?" icon="piggy-bank" iconType="solid" defaultOpen={false}>
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You could (and the person writing this right now did, from scratch) — but there are good reasons for not doing so.
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Vapi solves problems of orchestration and call quality that dramatically improve the experience of your users. We've built extremely low-latency, highly intelligent steps that work with multiple model providers.
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Writing a great realtime voice AI application from scratch is a fairly challenging task (more on those challenges [here](/challenges-of-realtime-conversation)). Most of these challenges are not apparent until you face them, then you realize you are 3 weeks into a rabbit hole that may take months to properly solve out of.
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Think of Vapi as hiring a software engineering team for this hard problem, while you focus on what uniquely generates value for your voice AI application.
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But to address cost, the vast majority of cost in running your application will come from provider cost (Speect-to-text, LLM, Text-to-speech) direct with vendors (Deepgram, OpenAI, ElevenLabs, etc) — where we add no fee (vendor cost passes-through). These would have to be incurred anyway.
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The vast majority of cost in running your application will come from provider cost (Speech-to-text, LLM, Text-to-speech) direct with vendors (Deepgram, OpenAI, ElevenLabs, etc) — where we add no fee (vendor cost passes-through). These would have to be incurred anyway.
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Vapi only charges its small fee on top of these for the continuous maintenance & improvement of these hardest components of your system (which would have costed you time to write/maintain).
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No matter what, some cost is inescapable (in money, time, etc) to solve this challenging technical problem.
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Our focus is solely on foundational Voice AI orchestration, & it’s what we put our full time and resources into.
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To learn more about Vapi’s pricing, you can visit our [pricing page](/pricing).
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