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AI Tool Comparison

Comparing as AI Computer Vision & Speech APIs
Vapi vs Groq

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

VS
Vapi official logo and brand icon

Vapi

Paid
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Groq official logo and brand icon

Groq

Freemium
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Verdict by Category

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Feature & Spec Matrix

Detailed Comparison23 Criteria

Complete side-by-side breakdown of specifications, capabilities, and feature parity

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Feature / Spec
Vapi
Vapi
Groq
Groq
Pricing Model
Difference
PaidVapi offers two plans. Build is usage-based with 60+ free call minutes included, then $0.05 per call minute and $0.005 per SMS/chat message for Vapi hosting (model provider costs for STT, LLM, and TTS are passed through at cost, or $0 if you bring your own API key), 10 call lines included with additional lines at $10/line/month, 14-day call history and 30-day chat history, and community Discord and email support. Scale is an annual contract with a fixed platform fee and committed volume, custom volume-based per-minute pricing, enterprise-grade SSO, RBAC, and SOC 2, data residency options, a support SLA, and a dedicated account team. Both plans offer HIPAA compliance as a $2,000/month add-on and Zero Data Retention as a $1,000/month add-on.
FreemiumGroqCloud uses pay-as-you-go pricing per million tokens with no seat license or minimum spend. Rates range from roughly $0.05 input / $0.08 output for Llama 3.1 8B Instant up to about $1.00 input / $3.00 output for Kimi K2, with the flagship Llama 3.3 70B Versatile priced at $0.59 input / $0.79 output and GPT-OSS 120B at $0.15 input / $0.60 output. Whisper v3 Turbo transcription is priced at $0.04 per hour of audio. A free tier is available to all registered users with no credit card required, offering access to every model at 30 requests per minute. The Batch API and prompt caching each cut rates by roughly 50%, and can be combined for an effective rate of about 25% of on-demand pricing on eligible workloads. Enterprise pricing, including GroqAssured governance features and dedicated GroqMetal infrastructure, is available by contacting Groq's sales team.
Starting Price
Difference
Pay-as-you-go ($0.05/min Vapi platform fee + underlying STT/LLM/TTS costs, ~$0.10–$0.15/min total)
Usage-based (Llama 3.3 70B starting at ~$0.59/1M tokens)
Free Plan & Trial Scope
Difference
$10 in free call credits upon signup for developer sandbox testing
Free developer tier in GroqCloud with high rate limits on open models (Llama 3.3, DeepSeek R1, Whisper)
User Rating Score
Unrated
Unrated
Ideal Workflow / Use Case
Difference
Developers building inbound customer support call dispatchers, outbound sales qualification bots, healthcare appointment booking agents, and interactive web voice interfaces
Real-time conversational voice bots, sub-second interactive AI search, streaming agentic loops, high-throughput batch extraction, and ultra-fast code completion
Enterprise & Scalability
Difference
Ultra-Low Latency Voice Pipeline (~500ms response time with smart turn-taking and interruption handling), BYO API Keys (bring your own OpenAI, Anthropic, Deepgram, Cartesia, or ElevenLabs keys), Custom Server URL (connect your own backend webhook to execute complex business logic during calls), Telephony Integration (native Twilio, Vonage, SIP trunking, inbound/outbound phone numbers), WebRTC Web/Mobile SDKs, Call Recording & Transcripts, and Function Calling
Language Processing Unit (LPU) silicon architecture (eliminates memory bandwidth bottlenecks), 500+ tokens/sec generation speed, sub-100ms Time-to-First-Token (TTFT), OpenAI-compatible API, real-time Whisper speech-to-text, JSON mode, and enterprise dedicated rack deployments
Core Categories
Difference
AI Developer APIs & Platforms
AI Developer APIs & PlatformsLarge Language Models (LLMs)
Real-time voice pipeline chaining transcription, LLM, and text-to-speech at sub-500ms average latency
Difference
Vapi Advantage
Not listed
API-first developer platform for building voice agents into any application, hardware, or phone system
Difference
Vapi Advantage
Not listed
Support for over 100 languages and custom voice and model provider selection
Difference
Vapi Advantage
Not listed
Built-in telephony handling so teams can skip carrier and infrastructure complexity
Difference
Vapi Advantage
Not listed
AI guardrails designed to prevent model hallucinations and maintain data integrity
Difference
Vapi Advantage
Not listed
SSO, OAuth2, and RBAC for enterprise-grade access control on the Scale plan
Difference
Vapi Advantage
Not listed
SOC 2, HIPAA, and PCI compliance options for regulated industries
Difference
Vapi Advantage
Not listed
Real-time call monitoring and orchestration across every voice agent from one platform
Difference
Vapi Advantage
Not listed
Custom-built LPU (Language Processing Unit) chips purpose-designed for inference rather than training
Difference
Not listed
Groq Advantage
OpenAI-compatible API for quick migration from existing integrations
Difference
Not listed
Groq Advantage
GroqCloud hosts open-source models including Llama, Mixtral, Gemma, Qwen, and DeepSeek R1 distills
Difference
Not listed
Groq Advantage
Compound and Compound Mini agentic systems with built-in web search and code execution
Difference
Not listed
Groq Advantage
Batch API and prompt caching, stackable for up to a 75% cost reduction
Difference
Not listed
Groq Advantage
Browser-based Playground for testing prompts and comparing model speed before writing code
Difference
Not listed
Groq Advantage
GroqMetal, GroqCore, and GroqAssured layered platform for infrastructure, inference, and enterprise governance
Difference
Not listed
Groq Advantage
13 data centers operating across four continents for global low-latency access
Difference
Not listed
Groq Advantage
Vapi icon

Vapi Pros & Cons

Pros

  • Sub-500ms average latency for natural, real-time voice conversations
  • Proven at massive scale with over 1 billion calls handled for enterprise customers
  • Bring-your-own-API-key option lets teams pay $0 in model provider costs
  • Strong enterprise trust signals including SOC 2, HIPAA, and PCI compliance options
  • Flexible, API-first architecture that fits into any application, hardware, or phone system

Cons

  • Usage-based pricing (calls, model provider costs, add-ons) can be complex to forecast versus a flat monthly fee
  • Enterprise features like SSO, RBAC, and SOC 2 are only included on the custom-priced Scale plan
  • HIPAA compliance ($2K/month) and Zero Data Retention ($1K/month) are costly add-ons rather than included features
  • Being API-first and developer-focused, it requires engineering resources to configure and is not a no-code tool for non-technical teams
  • Call history retention is limited to 14 days on the Build plan unless upgraded
Groq icon

Groq Pros & Cons

Pros

  • Consistently ranks among the fastest LLM inference providers thanks to purpose-built LPU hardware
  • OpenAI-compatible API makes migration from existing integrations fast
  • Generous free tier with no credit card required and access to every hosted model
  • Batch API and prompt caching can stack to roughly 25% of on-demand pricing
  • Proven at scale with 3M+ developers and demanding real-time customers like McLaren F1

Cons

  • Only hosts open-source models (Llama, Mixtral, Gemma, Qwen, DeepSeek distills), so there's no access to proprietary models like GPT or Claude through the platform
  • The December 2025 NVIDIA licensing deal and departure of founder Jonathan Ross as CEO introduce some uncertainty about the platform's long-term technical direction
  • No self-serve fine-tuning; customization requires contacting Groq's sales team or submitting an Enterprise request
  • Free tier is limited by requests-per-minute (30 RPM) rather than a generous token allowance, which can bottleneck bursty workloads
  • Full pricing isn't published for every capability, and Enterprise/GroqAssured governance features require a custom conversation
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