GLM-5 vs o3-mini

Pick GLM-5 if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.

GLM-5 is clearly ahead on the provisional aggregate, 67 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GLM-5's sharpest advantage is in coding, where it averages 63.2 against 49.3. The single biggest benchmark swing on the page is SWE-bench Verified, 77.8% to 49.3%. o3-mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $1.00 input / $3.20 output per 1M tokens for GLM-5. o3-mini is the reasoning model in the pair, while GLM-5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.