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Groq vs Convex

Side-by-side comparison to help you choose the best tool.

Groq

freemium
4.6 / 5.0

Groq is an AI inference company that builds Language Processing Units (LPUs) - custom chips designed for ultra-fast LLM inference. Groq delivers inference speeds up to 10x faster than GPU-based alternatives, enabling real-time AI applications. Its GroqCloud API provides access to LLaMA 3, Mixtral, and Gemma models at industry-leading tokens-per-second throughput.

Best for: Developers building real-time AI applications that require the lowest possible LLM inference latency for streaming and interactive experiences
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Convex

freemium
4.4 / 5.0

Convex is a fullstack TypeScript cloud backend for reactive applications, providing a database, serverless functions, file storage, and real-time subscriptions in one platform. Its developer-friendly approach with full TypeScript, automatic query caching, and built-in vector search make it popular for building AI applications with real-time reactivity.

Best for: TypeScript developers building real-time AI applications who want a backend that handles database, functions, and vector search in one reactive system
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Feature Comparison
Feature Groq Convex
Pricing freemium freemium
Category - -
Rating ★★★★½ 4.6 ★★★★☆ 4.4
Best For Developers building real-time AI applications that require the lowest possible LLM inference latency for streaming and interactive experiences TypeScript developers building real-time AI applications who want a backend that handles database, functions, and vector search in one reactive system
Views 107 118
Detailed Attribute Comparison
Attribute Groq Convex
Pricing Type freemium freemium
Free Trial No No
API Available No No
Mobile App No No
Rating 4.6 ✓ 4.4
Founded - -
Team Size - -
Deployment - -
Popularity (Views) 107 118 ✓
Green highlight indicates the stronger value for that attribute.
Pros & Cons — Groq
Pros
  • Fastest LLM inference available — 10x+ over GPUs
  • Enables real-time streaming AI at scale
  • Competitive pricing for high-throughput
Cons
  • Limited model selection vs Together or Replicate
  • No fine-tuning option
Pros & Cons — Convex
Pros
  • End-to-end TypeScript with automatic type safety
  • Real-time reactivity without polling
  • Built-in vector search for AI apps
Cons
  • JavaScript/TypeScript only
  • Less flexible than Supabase for SQL power users
Key Features — Groq
  • LPU-based ultra-fast inference
  • LLaMA 3, Mixtral & Gemma APIs
  • Industry-leading tokens/second
  • GroqCloud API
  • Low-latency real-time AI
Key Features — Convex
  • Fullstack TypeScript backend
  • Real-time reactive queries
  • Built-in vector search
  • Serverless functions
  • Automatic caching
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