Gemma 4 31B vs GLM-5

Pick GLM-5 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.

GLM-5 is clearly ahead on the provisional aggregate, 66 to 62. 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 41.6. The single biggest benchmark swing on the page is HLE, 26.5% to 50.4%.

GLM-5 is also the more expensive model on tokens at $1.00 input / $3.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 31B. That is roughly Infinityx on output cost alone. Gemma 4 31B 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. Gemma 4 31B gives you the larger context window at 256K, compared with 200K for GLM-5.