Fireworks AI vs Together AI — 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 of $0.88 / 1M tokens position this API tier at a mid-range price point for its model class, while the throughput of 600 tok/s is relatively fast. The rate limits of 20,000 TPM and 60 RPM suggest suitability for low-volume prototyping rather than high-volume production, and the first-token latency of 310 ms favors batch use over real-time applications.

This tier is appropriate for a batch document processing pipeline with a small team requiring >500k daily requests and a tolerance for moderate latency.