DeepInfra vs Together AI — Llama 3.3 70B

The input and output costs are both $0.59 per 1M tokens, which is mid-range for a model of this scale, while the throughput of 700 tok/s is relatively fast. The rate limits of 15,000 TPM and 60 RPM are more suited for low-volume prototyping, and the first-token latency of 270 ms does not favor real-time applications but rather batch processing scenarios.

This tier is suitable for a batch document processing workload with a small team, requiring <50k daily completions and moderate latency tolerance.

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.