GLM-5 vs GPT-5.4 mini

Pick GPT-5.4 mini 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.

GPT-5.4 mini finishes one point ahead on BenchLM's provisional leaderboard, 68 to 67. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.

GPT-5.4 mini's sharpest advantage is in agentic, where it averages 65.6 against 56.2. The single biggest benchmark swing on the page is HLE, 50.4% to 41.5%. GLM-5 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $1.00 input / $3.20 output per 1M tokens for GLM-5. GPT-5.4 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. GPT-5.4 mini gives you the larger context window at 400K, compared with 200K for GLM-5.