I have tried to rewrite an article with GLM-5.2 and with Sonnet 4.6. Completely different results as LLM is non-deterministic. But GLM-5.2 made a lot of subtle mistakes that needed to be corrected by hand. On the opposite, Sonnet found and corrected all mistakes in the second round.

Similar situation was with planning and coding. GLM-5.2 seems to be good “on paper” but the real usage results was different.

And I am not an attorney for Claude or GLM-5.2… :)

But as I’ve been using LLM models daily since Nov 2022 I have realized that all common tests have to be confirmed in your project - there is no “one model rules them all” - you need to dig out a specific model from that LLM haystack with thousands of models.

Benchmarks help but they start to be similar to fuel consumption specs in car ads - real consumption is different for everybody :)