Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
83
Qwen3.5-27B
63
Verified leaderboard positions: GLM-5.1 #21 · Qwen3.5-27B #16
Pick GLM-5.1 if you want the stronger benchmark profile. Qwen3.5-27B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+13.7 difference
Coding
+2.1 difference
Knowledge
+28.3 difference
GLM-5.1
Qwen3.5-27B
$1.4 / $4.4
$0 / $0
N/A
N/A
N/A
N/A
203K
262K
Pick GLM-5.1 if you want the stronger benchmark profile. Qwen3.5-27B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GLM-5.1 is clearly ahead on the provisional aggregate, 83 to 63. 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 51.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63.5% to 41.6%. Qwen3.5-27B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GLM-5.1 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-27B. That is roughly Infinityx on output cost alone. Qwen3.5-27B 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, 83 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63.5% and 41.6%.
Qwen3.5-27B has the edge for knowledge tasks in this comparison, averaging 80.6 versus 52.3. GLM-5.1 stays close enough that the answer can still flip depending on your workload.
Qwen3.5-27B has the edge for coding in this comparison, averaging 63 versus 60.9. Inside this category, SWE-Rebench 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 51.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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