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AI Tool Comparison
Groq vs Vapi
A side-by-side breakdown to help you pick the right tool for your workflow.
Groq
Run Llama and Qwen on custom LPU chips for very low-latency, high-throughput inference at a fraction of typical GPU token costs. Reports of a $20B Nvidia asset acquisition surfaced in 2026, though Groq continues operating independently.
Developer Tools
freemium
Vapi
Build and deploy voice AI agents that handle phone calls, SMS, and chat at enterprise scale with sub-500ms latency.
Developer Tools
freemium
Bottom Line
Groq and Vapi are rated evenly — the right pick comes down to which workflow you're running.
Choose Groq if…
Developer Tools
Choose Vapi if…
Voice AI
| Attribute | Groq | Vapi |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free tier / pay-as-you-go from $0.05/M tokens | $0.05/min platform fee (all-in cost typically $0.07-0.33/min) |
| Rating |
Key Features
Groq
- Very low-latency inference
- OpenAI-compatible API
- Popular open models hosted
- Generous free tier
Vapi
- Sub-500ms latency
- Inbound and outbound calling
- Bring your own LLM
- Voice interruption handling
- Call analytics and transcripts
- Webhooks for custom logic
Pros
Groq
- •Blazing fast responses
- •Easy drop-in API
- •Cost-effective
Vapi
- •Best latency in the voice AI category
- •Flexible model and voice provider support
- •Strong developer documentation
Cons
Groq
- Limited model selection
- Capacity constraints at peak
Vapi
- Usage costs can scale quickly at volume
- Requires developer setup, not no-code