AI Tool Comparison
Comparing as AI Computer Vision & Speech APIsGroq vs Vapi
Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.
Groq
VS
Vapi
Detailed Comparison
Feature
Groq
Vapi
Pricing
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.
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.
Categories
AI Developer APIs & PlatformsAI Coding Assistants
AI Developer APIs & Platforms
Summary
The fastest inference cloud for open-source LLMs, powered by custom LPU chips
Build, test, and deploy advanced voice AI agents in minutes
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
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