NovAI vs DeepInfra: 2026 Comparison

Feature Comparison

Comparison reflects each platform's positioning as of June 2026. DeepInfra hosts a wide range of open models; NovAI specializes in Chinese models with Asia-optimized infrastructure.

Latency Comparison (from Asia)

Source: Independent latency tests conducted from Singapore, June 2026. Results vary by client location — from North America, US-hosted platforms will be closer.

Pricing (per 1M tokens)

NovAI charges the upstream provider price with a 0% platform markup. A few current NovAI rates:

NovAI prices verified June 2026. DeepInfra prices vary per model and are billed pay-per-use — check their current rate card for the exact model you need. For Chinese models specifically, NovAI's direct provider peering keeps prices at cost with no added markup.

When to Use Which?

• Choose NovAI if: Your workload centers on Chinese AI models, you serve Asian users, you want the freshest DeepSeek/Qwen/GLM/Doubao/MiniMax lineup in one OpenAI-compatible endpoint, or you need USDT payment.
• Choose DeepInfra if: You need a very broad catalog of Western open-weight models (Llama, Mistral, etc.), your users are mainly in North America, or you want general serverless inference beyond Chinese models.
• Use both: Route Chinese models through NovAI for low Asian latency, and Western open models through DeepInfra — same OpenAI SDK, just switch base_url per request.

How to Switch from DeepInfra to NovAI

It takes 2 lines of code. Just change base_url and api_key:

That's it. Your existing OpenAI SDK code works without changes.