Fireworks AI vs Groq — Llama 3.3 70B
The input and output costs are $0.9 per 1M tokens, which is mid-range for this model class, while throughput at 680 tok/s is fast. The rate limits of 10,000 TPM and 60 RPM suggest suitability for low-volume prototyping, and the first-token latency of 260 ms is more favorable for batch use than real-time applications.
This tier is suitable for a batch document processing workload with a team of 3-5 engineers, targeting <50k daily completions.
The input cost is $0.59 / 1M tokens and the output cost is $0.79 / 1M tokens, which positions this API tier as mid-range for its model class, while the throughput of 750 tok/s is fast. With rate limits of 6,000 TPM and 30 RPM, this setup is more suited for low-volume prototyping, and the first-token latency of 250 ms favors batch use over real-time applications.
This API tier is suitable for a low-volume prototyping team working on a batch document processing pipeline with <50k daily completions.
Frequently Asked Questions
Is Fireworks AI faster than Groq for Llama 3.3 70B?
Fireworks AI delivers 680 tokens/sec at 260ms TTFT, while Groq delivers 750 tokens/sec at 250ms TTFT. Groq has higher throughput; Groq has lower first-token latency.
Is Fireworks AI cheaper than Groq for Llama 3.3 70B?
Fireworks AI charges $0.9 input / $0.9 output per 1M tokens. Groq charges $0.59 input / $0.79 output per 1M tokens. Groq is cheaper for input-heavy workloads.
What are the rate limits for Fireworks AI vs Groq?
Fireworks AI enforces 10,000 TPM / 60 RPM. Groq enforces 6,000 TPM / 30 RPM. Higher TPM limits allow more concurrent users before hitting API ceilings.
Does Fireworks AI or Groq offer a free tier?
Fireworks AI offers a free tier. Groq offers a free tier. Both are suitable for prototyping without a credit card.