DeepSeek vs Qwen vs Kimi vs GLM: Which One Should You Use?

DeepSeek vs Qwen vs Kimi vs GLM: Which One Should You Use?

Hey there! Let me be honest with you — a few months ago, I was stuck in a rut. Every AI project I started ended up defaulting to the same handful of Western models I'd been using since 2023. Then a friend told me to look at what Chinese AI labs have been building, and honestly? My eyes were opened. Let me show you what I've found.

In this guide, I'm walking you through four model families that have completely changed how I think about API costs and capability: DeepSeek, Qwen, Kimi, and GLM. By the end, you'll know exactly which one fits your use case, and I'll even throw in some Python code so you can start playing with them today.

Let's dive in.

Here's the thing — I'd been burned before by "cheap" APIs that turned out to be cheap for a reason. The responses were flat, the reasoning was shaky, and the code suggestions were basically Stack Overflow regurgitations. I assumed Chinese models would be the same story.

I was wrong.

After testing all four families through Global API's unified endpoint (which, by the way, gives you OpenAI-compatible access to all of them — no separate accounts, no juggling), I discovered something interesting. Some of these models are genuinely competitive with the expensive Western ones. A couple of them are flat-out better in specific domains.

So I started keeping notes. And what follows is basically my brain dump after weeks of testing.

Before I go deep, here's a snapshot of what I'm comparing. I've put this table together from my own testing and from the published specs — everything you'll see here is verified pricing and capability data.

Now let me walk you through each family, what they're great at, and where they fall short.

Okay, I'm just going to say it — DeepSeek V4 Flash at $0.25 per million output tokens is the best deal in AI right now. Period. I use it for probably 80% of my day-to-day work and my monthly bill dropped by about 60% compared to when I was running everything through GPT-4o.

Here's what DeepSeek offers and where each one shines:

Let me show you how easy it is to switch to V4 Flash — this is literally the code I run dozens of times a day:

from openai import OpenAI

client = OpenAI(
    api_key="ga_xxxxxxxxxxxx",
    base_url="https://global-apis.com/v1"
)

response = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Explain quantum computing in 100 words"}]
)
print(response.choices[0].message.content)

That's it. Drop in your Global API key, point the base URL at https://global-apis.com/v1

, and you're off to the races.

If DeepSeek is my daily driver, Qwen is my "I need a specific tool" pick. Alibaba's team has built out the most complete model family of the bunch, and honestly, the breadth is staggering.

Here's a quick example using Qwen3-32B for general tasks — perfect for code generation or content work:

response = client.chat.completions.create(
    model="Qwen/Qwen3-32B",
    messages=[{"role": "user", "content": "Write a Python function to merge two sorted lists"}]
)
print(response.choices[0].message.content)

Notice how I'm using the same client

object from before? That's the magic of OpenAI-compatible APIs — once you set it up once, you just swap the model

parameter.

Kimi is the priciest of the four families, with prices ranging from $3.00 to $3.50 per million output tokens, but holy cow — when I need raw reasoning power, nothing else in this list touches it.

I won't show every variant here since the family is more focused, but K2.5 at $3.00/M is the headline model, and the whole range sits between $3.00 and $3.50/M. There's no "budget" Kimi option — you're paying premium prices for premium reasoning.

I won't lie, I use Kimi sparingly. But when I'm stuck on a tricky algorithm or need to debug something where the chain of reasoning matters, K2.5 has saved me hours.

Last but definitely not least — GLM from Zhipu AI is my secret weapon for anything involving Chinese language, and it's surprisingly competitive on English too.

And the full price range spans $0.01 to $1.92/M.

Here's my honest, from-the-hip recommendation after months of using all four:

If you're building a product and cost matters (when doesn't it?), start with DeepSeek V4 Flash. At $0.