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Groq vs Fireworks AI
This comparison was retrieved by database IDs selected from the catalog.
Groq
Groq
Fireworks AI
Fireworks AI
Free tier with generous rate limits for evaluation. Usage-based from $0.05/million tokens for small models to $0.90/million for large models. Enterprise custom pricing.
Free $1 in monthly credits. Serverless API from $0.10/M tokens for small models. Dedicated deployment custom.
Enterprise includes dedicated capacity, SLA guarantees, and data handling agreements. SOC 2 compliant.
SOC 2 Type II. GDPR compliant. Enterprise includes data handling agreements.
Review Groq's data handling policy. Groq uses its own LPU hardware, not third-party cloud providers, for inference. Enterprise includes data processing agreements.
Review Fireworks AI data handling policy. Inference requests processed on Fireworks infrastructure.
- Fastest LLM inference available using custom LPU hardware
- Significantly lower latency than GPU-based alternatives for real-time applications
- Competitive pricing for fast inference
- OpenAI-compatible API makes switching straightforward
- Fast inference speeds competitive with Groq for open source model deployment
- OpenAI-compatible API enables easy migration from OpenAI
- Competitive pricing at $0.10/M tokens for smaller models
- Function calling and JSON mode bring structured output to open source models
- Limited model selection compared to Hugging Face or Replicate
- Not a proprietary model developer — relies on open source models
- Enterprise dedicated capacity required for guaranteed SLA performance
- Model selection less comprehensive than Hugging Face for niche models
- Dedicated deployment requires custom pricing engagement
- Less community ecosystem than Together AI or Groq at this stage
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