Fireworks AI vs Groq
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Fireworks AI if you want fast inference and fine-tuning platform for open-source ai models (Assistant, usage); choose Groq if you want fast, low-cost llm inference on custom lpu silicon via groqcloud (Assistant, usage).
| Fireworks AI | Groq | |
|---|---|---|
| What it is | Fast inference and fine-tuning platform for open-source AI models | Fast, low-cost LLM inference on custom LPU silicon via GroqCloud |
| Type | platform | platform |
| Autonomy | Assistant | Assistant |
| Pricing | usage · $1 free credit; serverless per-token, on-demand GPUs from $7/hr (H100/H200) | usage · $0.05 / 1M input tokens (Llama 3.1 8B) |
| Best for | developers, enterprise, mid-market | developers, enterprise |
| Deployment | api, saas, on-prem | api, saas, on-prem |
| Modalities | text, code, image, voice, api | text, voice, code, image, api |
| Models | llama, open-source, model-agnostic | llama, open-source, model-agnostic |
| Protocols | function-calling, rest-api | mcp, function-calling, rest-api |
| Integrations | OpenAI SDK, Anthropic Messages API, LangChain, LlamaIndex, Vercel AI SDK, Hugging Face | OpenAI SDK, LangChain, Vercel AI SDK, Gmail, Google Calendar, Google Drive |
| Capabilities | 6 documented | 6 documented |
Fireworks AI
- +Proprietary FireAttention engine and FireOptimizer marketed for fast, low-latency open-model inference
- +OpenAI- and Anthropic-compatible API makes migration nearly drop-in
- +Supervised plus reinforcement fine-tuning (RFT) up to 1T+ parameters, with Multi-LoRA hosting
- -Serves open and bring-your-own models; no proprietary frontier model of its own
- -It is an inference and fine-tuning layer, not an end-to-end agent: orchestration is on you
Groq
- +Marketed for very fast inference at low, linear per-token pricing
- +OpenAI-compatible API makes migration nearly drop-in
- +Free tier plus on-demand, batch, and on-prem (GroqRack/LPX) options
- -Serves open models only; no proprietary frontier models of its own
- -It is an inference layer, not an end-to-end agent: orchestration is on you
Which should you choose?
Fireworks AI is fast inference and fine-tuning platform for open-source ai models, best for developers, enterprise, mid-market. Groq is fast, low-cost llm inference on custom lpu silicon via groqcloud, best for developers, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.