DeepInfra vs Groq — 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 cost is $0.59 / 1M tokens and the output cost is $0.79 / 1M tokens, which positions this API tier as mid-range for its model class, while the throughput of 750 tok/s is fast. With rate limits of 6,000 TPM and 30 RPM, this setup is more suited for low-volume prototyping, and the first-token latency of 250 ms favors batch use over real-time applications.
This API tier is suitable for a low-volume prototyping team working on a batch document processing pipeline with <50k daily completions.
Frequently Asked Questions
Is DeepInfra faster than Groq for Llama 3.3 70B?
DeepInfra delivers 700 tokens/sec at 270ms TTFT, while Groq delivers 750 tokens/sec at 250ms TTFT. Groq has higher throughput; Groq has lower first-token latency.
Is DeepInfra cheaper than Groq for Llama 3.3 70B?
DeepInfra charges $0.59 input / $0.59 output per 1M tokens. Groq charges $0.59 input / $0.79 output per 1M tokens. Groq is cheaper for input-heavy workloads.
What are the rate limits for DeepInfra vs Groq?
DeepInfra enforces 15,000 TPM / 60 RPM. Groq enforces 6,000 TPM / 30 RPM. Higher TPM limits allow more concurrent users before hitting API ceilings.
Does DeepInfra or Groq offer a free tier?
DeepInfra offers a free tier. Groq offers a free tier. Both are suitable for prototyping without a credit card.