Fireworks AIVS
GroqFireworks AI vs Groq
An in-depth comparison of Fireworks AI and Groq — pricing, features, ratings, and more.
Fireworks AI3.9
★★★★★
4 reviews
Higher ratedGroq3.8
★★★★★
1 reviews
Side-by-Side Comparison
Fireworks AI GroqCategory
AI Infrastructure Tools
AI Infrastructure Tools
Pricing
Pay-per-token; free trial credits available; pricing competitive with others
Free tier available; pay-per-token, very low cost (e.g., $0.05/MTok for Llama)
Pricing model
paid
freemium
Rating
3.9 ★
3.8 ★
Reviews
4
1
Platforms
API
API
API Access
✓ Yes
✓ Yes
Open Source
✗ No
✗ No
Key Features
Fireworks AI- ✓ Fast open model inference
- ✓ Fine-tuned model serving
- ✓ Function calling
- ✓ JSON mode
- ✓ OpenAI-compatible API
- ✓ Compound AI systems
- ✓ On-demand fine-tuning
Groq- ✓ 500+ tokens/second inference speed
- ✓ LPU-based hardware
- ✓ Open model support (Llama, Mixtral, Gemma)
- ✓ OpenAI-compatible API
- ✓ Low latency streaming
- ✓ Whisper transcription
Pros & Cons
Fireworks AIPros
- + Excellent price-performance
- + Fast inference
- + Good for fine-tuned models
- + Reliable production service
Cons
- − Less model variety than some providers
- − Less consumer-friendly
- − Fewer built-in tools
GroqPros
- + By far the fastest inference available
- + OpenAI-compatible API (easy migration)
- + Generous free tier
- + Very low cost
Cons
- − Limited to specific open models
- − No proprietary model access
- − Capacity constraints during peak