Choosing Between DeepSeek, Qwen, Kimi, and GLM at Scale
Six months ago, my cloud bill was scaring me. We were running everything through a single Western LLM provider, and the cost of inference was eating our runway alive. That's when I started digging seriously into the Chinese model ecosystem — not as a political statement, but as a CTO who needs to survive another quarter.
What I found genuinely surprised me. DeepSeek, Qwen, Kimi, and GLM aren't just "cheap alternatives" anymore. Some of them are production-ready in ways that would make a venture capitalist weep with joy. Others still have rough edges. And pricing is wildly inconsistent across the board, which is exactly the kind of thing that makes vendor lock-in dangerous.
I spent the last few months running real workloads through all four families, mostly through Global API's unified endpoint so I could swap models without rewriting my integration code. If you're trying to figure out which one belongs in your stack, here's what I learned — including the bills.
Why This Comparison Matters for Startups
