Claude Sonnet 5 vs GLM-5

Pick Claude Sonnet 5 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Claude Sonnet 5 is clearly ahead on the provisional aggregate, 94 to 66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Sonnet 5's sharpest advantage is in agentic, where it averages 81.8 against 56.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 80.4% to 56.2%. GLM-5 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Claude Sonnet 5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.00 input / $3.20 output per 1M tokens for GLM-5. That is roughly 4.7x on output cost alone. Claude Sonnet 5 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. Claude Sonnet 5 gives you the larger context window at 1M, compared with 200K for GLM-5.