Fireworks AI vs SiliconFlow — DeepSeek V3
The input and output costs are $0.9 per 1M tokens, which is mid-tier for this model class, while the throughput of 420 tok/s is relatively fast. The rate limits of 10,000 TPM and 60 RPM suggest suitability for low-volume prototyping rather than high-volume production, and the first-token latency of 380 ms leans towards batch use over real-time applications.
This tier is suited for a low-volume prototyping team working on a batch document processing pipeline with <50k daily completions.
With an input and output cost of $0.14 per 1M tokens, this pricing is mid-tier for a model with 685B parameters, while the throughput of 430 tok/s is relatively fast. The rate limits of 30,000 TPM and 60 RPM suggest suitability for low-volume prototyping, and the first-token latency of 380 ms is more favorable for batch use than for real-time applications.
This API tier is suitable for a batch document processing workload with a small team requiring <50k daily completions.
Frequently Asked Questions
Is Fireworks AI faster than SiliconFlow for DeepSeek V3?
Fireworks AI delivers 420 tokens/sec at 380ms TTFT, while SiliconFlow delivers 430 tokens/sec at 380ms TTFT. SiliconFlow has higher throughput; SiliconFlow has lower first-token latency.
Is Fireworks AI cheaper than SiliconFlow for DeepSeek V3?
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.