Vapi AI vs Vogent: Which Voice AI Platform s Right for You?
Author
Ethan Ng
Date Published
The Voice AI market is evolving fast. Dozens of players are bringing different approaches to real-time phone agents, from lightweight APIs to deeply customizable platforms. If you’ve been comparing solutions, Vapi is likely one of the names you've seen. Here's how Vogent stacks up across the most important decision points.
Pricing
Vapi offers a flexible pricing model that includes usage-based plans and a self-hosting option. Their cloud-hosted pricing starts at $0.05 per minute, matching most standard rates in the industry. Self-hosting comes with a $400/month base fee, which includes lower per-minute costs but requires customers to manage infrastructure.
Vogent also prices per minute, starting at $0.09, but with scale, prices can drop to $0.04-$0.05 per minute depending on volume and configuration. Unlike Vapi, Vogent includes full infrastructure and feature support at no added monthly cost.
Latency
Vapi provides real-time audio streaming and modular components for speech and LLMs, but latency performance depends heavily on user-managed stack configurations. With their self-hosted option, developers have more control, but also more responsibility for optimization.
Vogent delivers sub-400ms latency across all core components. With its custom in-house infrastructure (including language models and speech), Vogent ensures high-speed performance even when integrating third-party models like GPT or Eleven Labs. Optimizations across the stack help maintain responsiveness under 800ms worst-case, even in complex use cases.
Voices and Realism
Vapi integrates Eleven Labs and Play.ht, offering decent voice variety, and supports Whisper for speech-to-text. However, it lacks its own TTS infrastructure and depends heavily on third-party tools.
Vogent gives users access to a broader range of voice providers: Eleven Labs, Cartesia, and more, plus its own ultra-realistic, low-latency TTS voices. These are powered by a re-engineered version of Sesame’s CSM-1B, delivering natural prosody, filler words, and disfluencies that drive real conversational flow. Custom voices and in-app cloning are available, and customers can bring their own voices via API.
Agent Design and Auto-Learning
Vapi is optimized for developers who want modular control, but it lacks automation for designing and evolving agents over time. While users can build custom pipelines, they must handle data annotation and model improvement themselves.
Vogent features auto-design and self-improvement tooling built-in. Feed in call transcripts or raw recordings, and Vogent generates custom agents that mimic your best human reps, without carrying over undesirable patterns. Once live, these agents continuously learn from their mistakes and retrain autonomously, minimizing manual effort.
Compliance
Both platforms are SOC 2 Type II compliant. HIPAA compliance is offered by Vogent and can be configured based on customer needs. Vapi does not advertise HIPAA readiness as part of their standard offering.
The Verdict
Vapi is a powerful framework for technical teams looking to build a voice stack from modular parts. It’s flexible, but hands-on, and self-hosting requires a fair amount of DevOps effort.
Vogent, on the other hand, offers a full-stack platform that combines cutting-edge latency and voice realism with enterprise-grade automation. Whether you want to bring your own stack or leverage Vogent’s out-of-the-box performance, you get best-in-class tools with far less configuration and maintenance.
Curious how Vogent can help you launch humanlike phone agents in days, not months? Try it free or book a demo today.