Fireworks AI vs SiliconFlow — 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 and output costs are both $0.14 per 1M tokens, positioning this API tier in the mid-range for cost-efficiency, while the throughput of 680 tok/s is relatively fast for this model class. With rate limits of 30,000 TPM and 60 RPM, these constraints are more suited for low-volume prototyping rather than high-volume production, and the 300 ms first-token latency is more favorable for batch use than real-time applications.
This API tier is suitable for a team of 2-5 engineers working on a batch document processing pipeline with a volume tier of <50k daily completions.
Frequently Asked Questions
Is Fireworks AI faster than SiliconFlow for Llama 3.3 70B?
Fireworks AI delivers 680 tokens/sec at 260ms TTFT, while SiliconFlow delivers 680 tokens/sec at 300ms TTFT. SiliconFlow has higher throughput; Fireworks AI has lower first-token latency.
Is Fireworks AI cheaper than SiliconFlow for Llama 3.3 70B?
Fireworks AI charges $0.9 input / $0.9 output per 1M tokens. SiliconFlow charges $0.14 input / $0.14 output per 1M tokens. SiliconFlow is cheaper for input-heavy workloads.
What are the rate limits for Fireworks AI vs SiliconFlow?
Fireworks AI enforces 10,000 TPM / 60 RPM. SiliconFlow enforces 30,000 TPM / 60 RPM. Higher TPM limits allow more concurrent users before hitting API ceilings.
Does Fireworks AI or SiliconFlow offer a free tier?
Fireworks AI offers a free tier. SiliconFlow offers a free tier. Both are suitable for prototyping without a credit card.