Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
83
Qwen3.6 Plus
73
Verified leaderboard positions: GLM-5.1 #21 · Qwen3.6 Plus #10
Pick GLM-5.1 if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Agentic
+3.7 difference
Coding
+3.9 difference
Knowledge
+13.7 difference
GLM-5.1
Qwen3.6 Plus
$1.4 / $4.4
$null / $null
N/A
N/A
N/A
N/A
203K
1M
Pick GLM-5.1 if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
GLM-5.1 is clearly ahead on the provisional aggregate, 83 to 73. 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 61.6. The single biggest benchmark swing on the page is HLE, 52.3% to 28.8%. Qwen3.6 Plus does hit back in knowledge, 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 203K for GLM-5.1.
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 83 to 73. The biggest single separator in this matchup is HLE, where the scores are 52.3% and 28.8%.
Qwen3.6 Plus has the edge for knowledge tasks in this comparison, averaging 66 versus 52.3. 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 60.9. Inside this category, Vibe Code Bench 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 61.6. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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