Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
72
Qwen3.6-35B-A3B
64
Verified leaderboard positions: GLM-4.7 unranked · Qwen3.6-35B-A3B #13
Pick GLM-4.7 if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if agentic is the priority or you need the larger 262K context window.
Agentic
+6.2 difference
Coding
+3.7 difference
Knowledge
+0.1 difference
GLM-4.7
Qwen3.6-35B-A3B
$0 / $0
N/A
82 t/s
N/A
1.10s
N/A
200K
262K
Pick GLM-4.7 if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if agentic is the priority or you need the larger 262K context window.
GLM-4.7 is clearly ahead on the provisional aggregate, 72 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.7's sharpest advantage is in coding, where it averages 70.6 against 66.9. The single biggest benchmark swing on the page is VITA-Bench, 15.5% to 35.6%. Qwen3.6-35B-A3B does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Qwen3.6-35B-A3B gives you the larger context window at 262K, compared with 200K for GLM-4.7.
GLM-4.7 is ahead on BenchLM's provisional leaderboard, 72 to 64. The biggest single separator in this matchup is VITA-Bench, where the scores are 15.5% and 35.6%.
GLM-4.7 has the edge for knowledge tasks in this comparison, averaging 60.6 versus 60.5. Inside this category, HLE 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 66.9. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Qwen3.6-35B-A3B has the edge for agentic tasks in this comparison, averaging 51.5 versus 45.3. Inside this category, VITA-Bench is the benchmark that creates the most daylight between them.
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