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AI Tool Comparison
Fireworks AI vs Groq
A side-by-side breakdown to help you pick the right tool for your workflow.
Fireworks AI
Run Llama, Mixtral, and 50+ open-source models at production speed — 3–5x cheaper than OpenAI-equivalent APIs with the same SDK you're already using.
Models
freemium
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
| Attribute | Fireworks AI | Groq |
|---|---|---|
| Category | Models | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free $1 credit / Pay-per-token from $0.20/M tokens | Free tier / pay-as-you-go from $0.05/M tokens |
| Rating | ★ 4.6(2,800 reviews) | ★ 4.6(6,100 reviews) |
Key Features
Fireworks AI
- OpenAI-compatible API for instant drop-in replacement
- 50+ open-source models including Llama, Mixtral, and Gemma
- Compound AI system deployment (multiple models in one call)
- Function calling and JSON mode across all supported models
- Fine-tuning API for custom model specialization
- Sub-100ms time-to-first-token on most models
Groq
- Very low-latency inference
- OpenAI-compatible API
- Popular open models hosted
- Generous free tier
Pros
Fireworks AI
- •Best-in-class latency for open-source model inference
- •Significantly cheaper than OpenAI at scale
- •OpenAI-compatible API means zero migration effort
Groq
- •Blazing fast responses
- •Easy drop-in API
- •Cost-effective
Cons
Fireworks AI
- Smaller model selection than OpenRouter
- Fine-tuning has limited base model options vs dedicated platforms
- Free credit is small — production workloads require billing setup
Groq
- Limited model selection
- Capacity constraints at peak