What It Does
Fireworks AI is a high-performance inference platform that serves AI models with industry-leading speed. Founded by ex-Meta AI engineers, it provides optimized serving for open-source models, fine-tuning, and compound AI systems.
Key Features
- Ultra-low latency — consistently fastest time-to-first-token
- On-demand fine-tuning — customize models in minutes
- Function calling — reliable structured outputs
- Compound AI — orchestrate multiple models and tools
- FireAttention — custom attention kernel for speed optimization
- Multi-LoRA — serve multiple fine-tuned variants efficiently
- Speculative decoding — faster generation through prediction
Pricing Breakdown
| Model Class | Input | Output |
|---|---|---|
| Small (8B) | $0.10/M | $0.10/M |
| Medium (70B) | $0.70/M | $0.70/M |
| Large (405B) | $3.00/M | $3.00/M |
Who It’s For
Applications requiring the lowest possible latency (real-time chat, voice, interactive), teams needing fine-tuned models served efficiently, and developers building compound AI systems.
Competitive Position
Fireworks differentiates on raw speed — their custom inference stack (FireAttention, speculative decoding) consistently benchmarks fastest. The multi-LoRA serving is unique for teams with many fine-tuned variants. Founded by the team that built PyTorch at Meta, giving deep infrastructure expertise. Competes directly with Together AI on price/speed and with Groq on latency.