DeepInfra vs Together AI — Qwen3 32B
At $0.4 per 1M tokens for both input and output, this pricing is mid-tier for a 32B parameter model, with a throughput of 560 tok/s indicating fast performance. The rate limits of 15,000 TPM and 60 RPM are more suited for low-volume prototyping, while the first-token latency of 290 ms favors batch use over real-time applications.
This tier is suitable for a batch document processing pipeline with a small team handling <50k daily completions, requiring moderate latency.
The input and output costs are both $0.8 per 1M tokens, which positions this API tier in the mid-price range for its model class, while the throughput of 520 tok/s is relatively fast. With rate limits of 10,000 TPM and 60 RPM, this setup is more suited for low-volume prototyping rather than high-volume production, and the first-token latency of 320 ms is better aligned with batch use than real-time applications.
This 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 Together AI for Qwen3 32B?
DeepInfra delivers 560 tokens/sec at 290ms TTFT, while Together AI delivers 520 tokens/sec at 320ms TTFT. DeepInfra has higher throughput; DeepInfra has lower first-token latency.
Is DeepInfra cheaper than Together AI for Qwen3 32B?
DeepInfra charges $0.4 input / $0.4 output per 1M tokens. Together AI charges $0.8 input / $0.8 output per 1M tokens. DeepInfra is cheaper for input-heavy workloads.
What are the rate limits for DeepInfra vs Together AI?
DeepInfra enforces 15,000 TPM / 60 RPM. Together AI enforces 10,000 TPM / 60 RPM. Higher TPM limits allow more concurrent users before hitting API ceilings.
Does DeepInfra or Together AI offer a free tier?
DeepInfra offers a free tier. Together AI offers a free tier. Both are suitable for prototyping without a credit card.