Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
84
Qwen3.6-27B
72
Verified leaderboard positions: GLM-5.1 unranked · Qwen3.6-27B #10
Pick GLM-5.1 if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+6.0 difference
Coding
+9.7 difference
Knowledge
+9.9 difference
GLM-5.1
Qwen3.6-27B
$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. Qwen3.6-27B 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, 84 to 72. 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 59.3. The single biggest benchmark swing on the page is HLE, 52.3% to 24%. Qwen3.6-27B 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 Qwen3.6-27B. That is roughly Infinityx on output cost alone. Qwen3.6-27B 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, 84 to 72. The biggest single separator in this matchup is HLE, where the scores are 52.3% and 24%.
Qwen3.6-27B has the edge for knowledge tasks in this comparison, averaging 62.2 versus 52.3. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.6-27B has the edge for coding in this comparison, averaging 70.6 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 59.3. 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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