Fireworks AI vs Groq
Same workloads, both price lists, refreshed daily. On shared line items today: Fireworks AI is cheaper on 2 of 6 shared models (input or output price), Groq on 3.
Fireworks AI
Speed-focused open-model inference with FireAttention serving stack, function-calling models and image generation. Strong latency SLAs for production apps.
- Very low latency serving
- Function-calling optimized
- Enterprise SLAs
Groq
Custom LPU silicon serving open models at hundreds of tokens/second: the speed king for latency-sensitive apps, with simple per-token pricing..
- Fastest tokens/sec in the market
- Simple pricing
- Generous free tier for prototyping
Shared models, priced by both
List prices refreshed 2026-08-23 ยท input $/1M tokens| Model | Fireworks AI in/out | Groq in/out | Cheaper input |
|---|---|---|---|
| GPT-OSS 20B | $0.070 / $0.300 | $0.075 / $0.300 | Fireworks AI |
| GPT-OSS 120B | $0.150 / $0.600 | $0.150 / $0.600 | tie |
| Gemma-7b-It | $0.200 / $0.200 | $0.050 / $0.080 | Groq |
| GPT-OSS-Safeguard-20b | $0.500 / $0.500 | $0.075 / $0.300 | Groq |
| Kimi K2 | $0.600 / $2.50 | $1.00 / $3.00 | Fireworks AI |
| Qwen3 32B | $0.900 / $0.900 | $0.290 / $0.590 | Groq |
Cheaper-on-count is a tally of listed prices, not a quality verdict: throughput, reliability and quantization differ between providers. Disclosure.