Agentbrisk

Fixie AI vs Vapi

Two of the most-asked-about agents in the voice-agents space. Here's how they actually stack up.

Fixie AI

Developer platform for building voice AI agents that handle inbound and outbound phone calls

Free tier

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Vapi

Developer-focused voice AI platform for building production-grade voice agents via API

Free tier

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Side-by-side comparison

Fixie AI Vapi
Tagline Developer platform for building voice AI agents that handle inbound and outbound phone calls Developer-focused voice AI platform for building production-grade voice agents via API
Pricing Free tier Free tier
Categories voice-agents, voice, api, developer-tools voice-agents, api, conversational-ai
Made by Fixie AI Vapi
Launched 2023-05 2022
Platforms API, Web API, Web, Phone
Status active active

Fixie AI highlights

  • + Real-time voice agents that handle phone calls with sub-second latency
  • + Inbound and outbound call handling with programmable logic
  • + Function calling so agents can query APIs, look up data, and take actions mid-call
  • + Webhook integration for real-time event handling during conversations
  • + Custom voice selection with multiple TTS providers

Vapi highlights

  • + Real-time streaming voice with sub-500ms response latency on most configurations
  • + Bring your own LLM: works with OpenAI, Anthropic, Groq, Together, and local models
  • + Bring your own STT and TTS providers including Deepgram, ElevenLabs, and Play.ht
  • + Phone number provisioning and outbound/inbound call management via API
  • + Function calling and tool use for external integrations mid-conversation

Frequently Asked Questions

Which is better, Fixie AI or Vapi?
Neither is universally better. Fixie AI (Free tier) leans into voice-agents, while Vapi (Free tier) is closer to voice-agents. Pick based on which workflow you actually do every day.
What is the price difference between Fixie AI and Vapi?
Fixie AI is free tier. Vapi is free tier. See the pricing row in the comparison table.
Can I use Fixie AI and Vapi together?
In most cases, yes. They serve overlapping but distinct needs, so running them side by side is common until you decide which fits your workflow.
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