DeepInfra vs Groq — Llama 4 Maverick
The input and output costs of $0.19 per 1M tokens position this API tier as mid-range in price for its model class, while the throughput of 860 tok/s is relatively fast. The rate limits of 15,000 TPM and 60 RPM suggest suitability for low-volume prototyping rather than high-volume production, and the first-token latency of 200 ms favors real-time applications like chat or streaming rather than batch processing.
Real-time streaming API for a small team handling <50k daily completions in a conversational AI application.
With input and output costs of $0.2 per 1M tokens and a throughput of 900 tok/s, this pricing is mid-tier for the model class, while the throughput is fast. The rate limits of 6,000 TPM and 30 RPM suggest suitability for low-volume prototyping, and the first-token latency of 180 ms favors real-time applications like chat or streaming rather than batch processing.
This tier is suited for a real-time streaming API workload with a small team needing <50k daily completions and low latency requirements.
Frequently Asked Questions
Is DeepInfra faster than Groq for Llama 4 Maverick?
DeepInfra delivers 860 tokens/sec at 200ms TTFT, while Groq delivers 900 tokens/sec at 180ms TTFT. Groq has higher throughput; Groq has lower first-token latency.
Is DeepInfra cheaper than Groq for Llama 4 Maverick?
DeepInfra charges $0.19 input / $0.19 output per 1M tokens. Groq charges $0.2 input / $0.2 output per 1M tokens. DeepInfra 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.