Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
69
Qwen3.6 Plus
73
Verified leaderboard positions: GLM-4.7 unranked · Qwen3.6 Plus #12
Pick Qwen3.6 Plus if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if coding is the priority.
Agentic
+16.3 difference
Coding
+5.8 difference
Knowledge
+5.4 difference
GLM-4.7
Qwen3.6 Plus
$0 / $0
$null / $null
82 t/s
N/A
1.10s
N/A
200K
1M
Pick Qwen3.6 Plus if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if coding is the priority.
Qwen3.6 Plus is clearly ahead on the provisional aggregate, 73 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6 Plus's sharpest advantage is in agentic, where it averages 61.6 against 45.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 41% to 61.6%. GLM-4.7 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Qwen3.6 Plus gives you the larger context window at 1M, compared with 200K for GLM-4.7.
Qwen3.6 Plus is ahead on BenchLM's provisional leaderboard, 73 to 69. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 41% and 61.6%.
Qwen3.6 Plus has the edge for knowledge tasks in this comparison, averaging 66 versus 60.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for coding in this comparison, averaging 70.6 versus 64.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for agentic tasks in this comparison, averaging 61.6 versus 45.3. Inside this category, VITA-Bench is the benchmark that creates the most daylight between them.
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