Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
84
Qwen3.6-35B-A3B
64
Verified leaderboard positions: GLM-5.1 unranked · Qwen3.6-35B-A3B #13
Pick GLM-5.1 if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if knowledge is the priority or you need the larger 262K context window.
Agentic
+13.8 difference
Coding
+6.0 difference
Knowledge
+8.2 difference
GLM-5.1
Qwen3.6-35B-A3B
$1.4 / $4.4
N/A
N/A
N/A
N/A
N/A
203K
262K
Pick GLM-5.1 if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if knowledge is the priority or you need the larger 262K context window.
GLM-5.1 is clearly ahead on the provisional aggregate, 84 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.1's sharpest advantage is in agentic, where it averages 65.3 against 51.5. The single biggest benchmark swing on the page is HLE, 52.3% to 21.4%. Qwen3.6-35B-A3B does hit back in knowledge, 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 203K for GLM-5.1.
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 84 to 64. The biggest single separator in this matchup is HLE, where the scores are 52.3% and 21.4%.
Qwen3.6-35B-A3B has the edge for knowledge tasks in this comparison, averaging 60.5 versus 52.3. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 66.9 versus 60.9. Inside this category, NL2Repo is the benchmark that creates the most daylight between them.
GLM-5.1 has the edge for agentic tasks in this comparison, averaging 65.3 versus 51.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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