ChatGLM vs DeepSeek: My Honest Hands-On Comparison

81🔥·7 min read·research·2026-06-06
ChatGLM
ChatGLM
DeepSeek
DeepSeek
VS

📊 Quick Score

Ease of Use
ChatGLM
77
DeepSeek
Features
ChatGLM
78
DeepSeek
Performance
ChatGLM
78
DeepSeek
Value
ChatGLM
78
DeepSeek

I spent the last two weekends with both ChatGLM and DeepSeek open in separate tabs. My goal? Figure out which one actually helps me get work done without the hype.

First Impressions

ChatGLM greeted me with a clean, almost sterile interface. No flashy animations. Just a text box and a clear "Chinese AI assistant" vibe. DeepSeek felt more Westernized—sleeker, faster loading, with a subtle "we're the new kid" energy.

The Real Test: Coding

I threw the same Python task at both: "Write a script that scrapes my local news site and emails me the headlines."

ChatGLM gave me a working script on the first try. It used requests and BeautifulSoup, added error handling for network failures, and even suggested I use environment variables for the email password. No extra fluff.

DeepSeek also produced a working script, but it added a try-except block for every single line. Overkill. When I asked it to simplify, it apologized and rewrote it cleanly. That responsiveness impressed me.

Chinese Language Handling

This is where ChatGLM shines. I asked both to summarize a dense Chinese government document about AI regulation. ChatGLM pulled out the key points—effective dates, penalties, exemptions—without missing nuance. DeepSeek got the gist but flattened some critical distinctions. For example, it said "all AI tools need approval" when the document specifically exempted open-source models under a certain size.

Creativity and Tone

I needed a product description for a meditation app. ChatGLM wrote something that felt like a yoga instructor—calm, a bit formal, very safe. DeepSeek gave me three versions: one for Instagram (short and punchy), one for the App Store (feature-focused), and one for a blog (story-driven). I ended up using DeepSeek's copy.

Speed and Reliability

DeepSeek was noticeably faster. Responses came in 2-3 seconds. ChatGLM sometimes paused for 8-10 seconds, especially on long queries. Both had zero downtime during my tests.

Verdict

Neither is perfect. ChatGLM wins if you work mostly in Chinese or need precise document analysis. DeepSeek wins for speed, creative flexibility, and coding tasks that need iteration. I keep both installed now. Different tools for different jobs.


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