Why Developers Are Switching from Vapi: A Candid Look at the Pain Points

Published: January 2026

Word Count: ~2,400 words

It usually happens around 2 AM. You're debugging why your voice agent suddenly has 5-second response times. Your Groq LLM is over capacity, your logs show mysterious latency spikes, and your client demo is in 8 hours. You stare at the Vapi dashboard, wondering if there's a better way.

I've been there. Many developers have been there. And increasingly, they're making the switch to platforms that don't require a PhD in distributed systems just to get consistent sub-second latency.

This isn't a hit piece on Vapi. They've built an impressive platform that's raised $20M in Series A funding and helped popularize the voice AI space. But after months of building on the platform and speaking with dozens of developers who've made the switch, I want to share the verified pain points that are driving this migration, and how Burki addresses each one.

The Hidden Complexity Behind the $0.05/Minute Promise

Let's start with the elephant in the room: pricing.

Vapi advertises a clean $0.05/minute rate on their website. It sounds straightforward until you actually deploy.

According to multiple independent analyses, the actual cost ranges from $0.13 to $0.31+ per minute once you add the required third-party services:

• Speech-to-Text (STT): $0.01-0.02/minute
• Large Language Model (LLM): $0.02-0.08/minute depending on model
• Text-to-Speech (TTS): $0.02-0.05/minute
• Telephony (Twilio/Telnyx): $0.01-0.02/minute

That's a 3-6x difference from the advertised price. One CloudTalk analysis found that enterprise deployments typically require $40,000-$70,000 annual budgets for stable operations.

But it gets more complicated. Most production deployments require contracts with 4-6 different providers, making cost management a nightmare. You're suddenly managing separate billing relationships with Twilio, ElevenLabs, OpenAI, Deepgram, and Vapi itself.

How Burki Solves This

Burki offers transparent, all-inclusive pricing with three options:

1. Burki Cloud (Managed): We provide all API keys with a straightforward 15% markup on pass-through costs. One bill. One relationship.

1. BYO (Bring Your Own): Bring your own API keys and pay only a platform fee. You control your costs directly.

1. Hybrid Mode: Mix managed and BYO per service for maximum flexibility.

Plus, every new account gets 200 free minutes (not $10 in credits that mysteriously covers only 30-75 minutes) and a free trial phone number for 30 days. You can actually test the platform before committing.

The Latency Labyrinth

Here's where things get technically frustrating.

Voice AI latency isn't just one number. As Vapi's own blog explains, it's a pipeline:

Audio Input -> Network -> STT -> LLM -> TTS -> Network -> Audio Output

Each component adds delay:

• Network routing: <10ms each hop
• Legacy telephony equipment: 200-800ms
• STT processing: 40-300ms for first tokens
• LLM inference: 100-400ms
• TTS rendering: 50-250ms

Vapi community forum threads have repeatedly surfaced latency complaints. One developer reported 5+ second delays when Groq's LLM hit capacity. Another found their total latency hitting 1665ms with unexplained additional delays they couldn't identify in the logs.

The killer? Vapi's default turn detection settings include wait times that can add 1.5+ seconds to your response time, completely negating other optimizations. Users report near-zero latency on web calls, but the moment they connect Twilio, latency spikes to "not human-like levels."

How Burki Solves This

Burki's pipeline is optimized from the ground up for 0.8-1.2 second response times (vs. 4-5 seconds for competitors under load). Here's what's different:

Pipeline Optimization: Our real-time WebSocket streaming overlaps STT, LLM, and TTS processing. We don't wait for one to complete before starting the next.

Smart Turn Detection: Configurable Voice Activity Detection (VAD) with:

• Adjustable silence thresholds (ms)
• Minimum silence duration settings
• Utterance end timeout configuration
• VAD turnoff controls

Advanced Interruption Handling:

• Configurable interruption threshold (words before allowed)
• Minimum AI speaking time before interruption
• Interruption cooldown periods
• Immediate LLM request cancellation on interrupt
• Instant TTS stop on interruption

Intelligent Provider Recommendation Engine: Our AI automatically selects optimal TTS/STT/LLM providers based on your latency requirements. Need ultra-low latency? We'll recommend the fastest providers. Quality over speed? Different recommendations.

The Support Black Hole

This one hurts because it's so preventable.

A Vapi community forum thread titled "VAPI Support is so terrible" captures developer frustration: "They take min 24 hours to reply to messages, then disappear for another 24 hours after giving you some advice that still doesn't solve the issue. My problem is over a week old."

Another complaint thread asks "How do I get faster support from Vapi?" where developers share stories of having to "chase support for updates" while "time delays" mount.

The general verdict from Toksta's Reddit sentiment analysis? Support is "strong for large customers" but "lower tiers see weaker/slower support."

When your production calls are failing at 3 AM, waiting 24-48 hours isn't an option.

How Burki Solves This

We're a smaller team that treats every customer like an enterprise customer because, frankly, we remember what it's like to be left hanging.

• Comprehensive Call Audit Logs: Real-time Redis storage during calls with microsecond precision timestamps. You can debug yourself without waiting for support.
• Detailed Error Tracking: Full stack traces, audio processing events, LLM request/response logs, tool execution logs.
• Webhook Logging: Complete request/response capture for debugging integrations.
• Self-Service Documentation: Our API docs at /api/docs cover everything.

The Reliability Rollercoaster

Check Vapi's status page history and you'll find incidents including:

• Twilio inbound call failures
• Database endpoint restarts
• Increased latency and request timeouts
• Call connection error spikes

In January 2026 alone, public support threads reported:

• Calls not reaching receivers with "Silence Timed Out" errors
• Success Evaluation not showing any status
• Inbound numbers not working with calls being hung up
• Dashboard connectivity issues preventing assistant connections
• Query Tool unable to access uploaded knowledgebases that previously worked fine
• API request nodes timing out after 5 seconds regardless of timeout settings

One particularly concerning system-wide outage broke Google Calendar integration for all accounts, with multiple users reporting the exact same behavior.

How Burki Solves This

Multi-Provider Redundancy: We support Twilio, Telnyx, Vonage, and BYO SIP trunks. If one provider has issues, traffic routes elsewhere.

Automatic LLM Fallback: Configure backup LLM providers for automatic failover.

Hold Audio System: If TTS services hit capacity, we play pre-recorded hold messages and music while recovering, not dropping calls.

Redis Concurrency Manager: Cross-process coordination with atomic Lua scripts prevents race conditions. Slot auto-release with TTL means no orphaned resources.

Service Pool Architecture: Warm service pools mean pre-initialized TTS/STT/LLM services ready to go, with automatic cleanup of idle services.

The Non-Developer Problem

Vapi is powerful, but that power comes at a cost: complexity.

As Lindy's review puts it: "Problems show up when you push even slightly beyond the basics. Vapi does not guide you through multi-step logic, data handling, or conditions that depend on external systems. Those tasks always require a developer."

The assessment is clear: Vapi is "a good fit for teams with developers who want fine-grained control" but "a harder fit for non-technical teams who want to stay in a visual builder and avoid writing or maintaining backend code."

Synthflow's analysis notes that "Vapi AI is simple enough to try, but it becomes technical the moment you want to build anything meaningful."

This creates bottlenecks. Your content team can't update agent scripts without engineering help. Your sales team can't tweak call flows without filing a ticket.

How Burki Solves This

Voice Builder Assistant: Build assistants through natural conversation. A guided 16-step flow walks through name, purpose, voice quality, language, complexity, personality, and more, without writing code.

Visual Graph Builder: Drag-and-drop interface for multi-assistant orchestration. Non-technical teams can create complex call flows with:

• Entry, standard, exit, and escalation nodes
• Intent-based, natural language, and mathematical edge conditions
• Priority systems and custom handoff messages

Jinja2 Template System: Marketing can use {{name}}, {{company}} variables in messages with built-in filters for phone formatting, case conversion, and fallback values.

AI-Generated System Prompts: Describe what you want; we generate the prompt.

The Compliance Conundrum

Here's a painful one: HIPAA compliance on Vapi costs $1,000/month extra for Pay-As-You-Go plans, according to multiple pricing analyses.

If you're in healthcare, that's an immediate budget hit before you've made a single call.

How Burki Solves This

Security and compliance are built into every tier:

HIPAA Compliance:

• Business Associate Agreement (BAA) tracking
• Audit log retention (logs retained even after deletion)
• AES-256 encryption for data at rest
• Role-based access controls
• HIPAA-compliant rate limiting with brute force protection

GDPR Compliance:

• Full data subject rights (access, rectification, erasure, portability)
• Consent management with version history
• Configurable data retention policies
• PII Redaction Service that automatically detects and replaces phone numbers, SSNs, credit cards, addresses, and more

MFA and Session Security:

• TOTP support with authenticator app integration
• 10 backup recovery codes
• Idle timeout with automatic logoff
• Rate-limited login attempts

No $1,000/month add-on. It's just part of the platform.

Migration Checklist: Making the Switch

If you're considering the move, here's your practical roadmap:

Week 1: Preparation

• [ ] Export your current Vapi assistant configurations
• [ ] Document all webhook endpoints and integrations
• [ ] List all custom tools and their API endpoints
• [ ] Download call recordings and transcripts you need to retain
• [ ] Inventory your phone numbers and note which provider owns them

Week 2: Setup

• [ ] Sign up for Burki (200 free minutes, no credit card required)
• [ ] Import or recreate assistant configurations
• [ ] Set up webhook endpoints (our schema is documented at /api/docs)
• [ ] Recreate custom tools using HTTP API, Python, or Lambda integrations
• [ ] Test with your trial phone number

Week 3: Testing

• [ ] Run parallel tests with both platforms
• [ ] Compare latency using our real-time audit logs
• [ ] Verify all integrations work correctly
• [ ] Test edge cases: interruptions, transfers, voicemail detection
• [ ] Load test concurrent call handling

Week 4: Cutover

• [ ] Port phone numbers or purchase new ones through Burki
• [ ] Update DNS/webhooks to point to Burki endpoints
• [ ] Monitor first 24 hours closely using the dashboard
• [ ] Decommission Vapi after confirming stability

Frequently Asked Questions

Can I keep my phone numbers when switching?

Yes. You can port numbers from Twilio, Telnyx, or Vonage. Alternatively, you can use our BYO SIP trunk feature to keep numbers with your current carrier while using Burki for the AI layer.

How does Burki's latency compare in real-world usage?

Our pipeline achieves 0.8-1.2 second response times consistently. We publish our latency metrics transparently, and you can verify them yourself using our detailed call audit logs that track every component with microsecond precision.

What if I've built custom integrations with Vapi's API?

Burki has a comprehensive REST API with OpenAPI documentation. Most Vapi integrations can be migrated by updating endpoint URLs and adjusting for our schema. Our webhook payloads include similar data: transcripts, recordings, call metadata, and structured data extraction.

Do you support the same LLM and voice providers?

Yes, and more. We support:

• LLMs: OpenAI (GPT-4o, GPT-4 Turbo, GPT-3.5), Anthropic (Claude 3.5 Sonnet, Claude 3 Opus), Google (Gemini Pro/Flash), xAI (Grok), Groq (Llama, Mixtral), Azure OpenAI, plus custom OpenAI-compatible APIs.
• TTS: ElevenLabs, Deepgram, Cartesia, OpenAI, Azure Speech, Inworld, Resemble AI, Kokoro.
• STT: Deepgram (Nova 2, Nova 3, Flux), Azure Speech.

What about voice cloning?

Fully supported with ElevenLabs and Resemble AI. Upload 10-60 seconds of audio, and we handle the rest. You can even clone your voice during assistant setup using our Voice Builder.

Is there a free trial?

Yes. 200 free minutes (unified platform + carrier minutes), a free trial phone number for 30 days, and no credit card required to start.

The Bottom Line

Vapi isn't a bad platform. They've done important work in making voice AI accessible to developers. But as the space matures, the pain points become harder to ignore: hidden pricing complexity, latency challenges under load, support responsiveness issues, and reliability concerns.

We built Burki because we experienced these problems firsthand. Every feature, from the sub-second latency pipeline to the transparent pricing to the comprehensive audit logs, exists because we were frustrated developers looking for something better.

The best way to evaluate any platform is to try it. Sign up for Burki, use your 200 free minutes, and see the difference for yourself. Your 2 AM debugging sessions will thank you.

Sources:

• Vapi AI Review in 2026: Pricing, Pros, & Cons - Lindy
• Vapi Review: The Most In-Depth Analysis (2026) - Softailed
• Vapi Pricing Breakdown 2025: Hidden Costs & What to Expect - Dograh
• Vapi AI Plans & Pricing: Full Guide for 2026 - CloudTalk
• Decoding Vapi AI Pricing and Plans - Synthflow
• Is Vapi's Pricing Worth It? - Tabbly
• Speech Latency Solutions - Vapi AI Blog
• How to Build the Lowest Latency Voice Agent in Vapi - AssemblyAI
• How to Reduce Latency in Vapi - Vapi Pro
• Vapi Review 2025 - Reddit Sentiment - Toksta
• Vapi Status Page
• Honest Vapi AI Review 2025 - Synthflow
• Vapi AI Alternatives - Lindy
• Vapi Alternative: Best Platform for Scalable Voice AI - Telnyx

Have questions about migrating from Vapi? [Contact our team](https://burki.dev/contact) or join our community Discord.