Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5
77
Qwen 3.6 Max (preview)
72
Verified leaderboard positions: GLM-5 #12 · Qwen 3.6 Max (preview) unranked
Pick GLM-5 if you want the stronger benchmark profile. Qwen 3.6 Max (preview) only becomes the better choice if agentic is the priority or you need the larger 256K context window.
Agentic
+9.2 difference
Coding
+9.1 difference
Knowledge
+3.2 difference
GLM-5
Qwen 3.6 Max (preview)
$0 / $0
N/A
74 t/s
N/A
1.64s
N/A
200K
256K
Pick GLM-5 if you want the stronger benchmark profile. Qwen 3.6 Max (preview) only becomes the better choice if agentic is the priority or you need the larger 256K context window.
GLM-5 is clearly ahead on the provisional aggregate, 77 to 72. 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 54.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 56.2% to 65.4%. Qwen 3.6 Max (preview) does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Qwen 3.6 Max (preview) 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. Qwen 3.6 Max (preview) gives you the larger context window at 256K, compared with 200K for GLM-5.
GLM-5 is ahead on BenchLM's provisional leaderboard, 77 to 72. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 56.2% and 65.4%.
Qwen 3.6 Max (preview) has the edge for knowledge tasks in this comparison, averaging 73.9 versus 70.7. Inside this category, SuperGPQA is the benchmark that creates the most daylight between them.
GLM-5 has the edge for coding in this comparison, averaging 63.2 versus 54.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Qwen 3.6 Max (preview) has the edge for agentic tasks in this comparison, averaging 65.4 versus 56.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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