GLM-5 vs Qwen3.6-35B-A3B

Pick GLM-5 if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if coding is the priority or you need the larger 262K context window.

GLM-5 finishes one point ahead on BenchLM's provisional leaderboard, 67 to 66. 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.

GLM-5's sharpest advantage is in knowledge, where it averages 70.7 against 60.5. The single biggest benchmark swing on the page is HLE, 50.4% to 21.4%. Qwen3.6-35B-A3B does hit back in coding, so the answer changes if that is the part of the workload you care about most.

Qwen3.6-35B-A3B 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. Qwen3.6-35B-A3B gives you the larger context window at 262K, compared with 200K for GLM-5.