Fireworks AI vs Groq — Llama 4 Maverick
The input and output costs are both $0.22 per 1M tokens, which is mid-tier for this model class, while the throughput of 820 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 220 ms favors batch use rather than real-time applications.
This tier is suitable for a batch document processing pipeline with a small team handling <50k daily completions.
With input and output costs of $0.2 per 1M tokens and a throughput of 900 tok/s, this pricing is mid-tier for the model class, while the throughput is fast. The rate limits of 6,000 TPM and 30 RPM suggest suitability for low-volume prototyping, and the first-token latency of 180 ms favors real-time applications like chat or streaming rather than batch processing.
This tier is suited for a real-time streaming API workload with a small team needing <50k daily completions and low latency requirements.
Frequently Asked Questions
Is Fireworks AI faster than Groq for Llama 4 Maverick?
Fireworks AI delivers 820 tokens/sec at 220ms TTFT, while Groq delivers 900 tokens/sec at 180ms TTFT. Groq has higher throughput; Groq has lower first-token latency.
Is Fireworks AI cheaper than Groq for Llama 4 Maverick?
Fireworks AI charges $0.22 input / $0.22 output per 1M tokens. Groq charges $0.2 input / $0.2 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.