Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.2
94
Qwen3.6 Plus
66
Verified leaderboard positions: GLM-5.2 #9 · Qwen3.6 Plus #17
Pick GLM-5.2 if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if coding is the priority.
Agentic
+19.4 difference
Coding
+2.7 difference
Knowledge
+1.2 difference
GLM-5.2
Qwen3.6 Plus
$1.4 / $4.4
$null / $null
N/A
N/A
N/A
N/A
1M
1M
Pick GLM-5.2 if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if coding is the priority.
GLM-5.2 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.
GLM-5.2's sharpest advantage is in agentic, where it averages 81 against 61.6. The single biggest benchmark swing on the page is HLE, 54.7% to 28.8%. Qwen3.6 Plus does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GLM-5.2 is ahead on BenchLM's provisional leaderboard, 94 to 66. The biggest single separator in this matchup is HLE, where the scores are 54.7% and 28.8%.
GLM-5.2 has the edge for knowledge tasks in this comparison, averaging 67.2 versus 66. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for coding in this comparison, averaging 64.8 versus 62.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GLM-5.2 has the edge for agentic tasks in this comparison, averaging 81 versus 61.6. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
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