Let me start with a confession: I’m obsessed with getting the most bang for my buck. Whenever I see a new AI API price list, I immediately start calculating cost per token, comparing it to GPT-4o, and wondering if I could replace half my infrastructure with something that costs 90% less. So when I got access to four Chinese AI models via Global API, I spent a weekend stress-testing them with one question: Which one saves me the most money without sacrificing quality?
Here’s the thing: these aren’t just “China’s AI models” anymore. They’re global contenders, and their pricing is shockingly competitive. I’ve put together a complete cost breakdown from my own experiments. I’ll show you exactly where the savings are hidden — and where you might be overspending without realizing it.
The Quick Numbers That Made Me Do a Double-Take
Before I dive into each model, check this out: the cheapest model here costs $0.01 per million output tokens. That’s 99% cheaper than GPT-4o at $10.00/M output. Even the most expensive Chinese model I tested — Kimi K2.5 at $3.00/M — is 70% less than GPT-4o. And the best part? On many tasks, these models match or exceed Western performance.
Model Family
