Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
83
GPT-5.2
81
Verified leaderboard positions: GLM-5.1 #21 · GPT-5.2 unranked
Pick GLM-5.1 if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if knowledge is the priority or you need the larger 400K context window.
Agentic
+10.1 difference
Coding
+3.8 difference
Knowledge
+40.1 difference
GLM-5.1
GPT-5.2
$1.4 / $4.4
$1.75 / $14
N/A
73 t/s
N/A
130.34s
203K
400K
Pick GLM-5.1 if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if knowledge is the priority or you need the larger 400K context window.
GLM-5.1 has the cleaner provisional overall profile here, landing at 83 versus 81. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GLM-5.1's sharpest advantage is in agentic, where it averages 65.3 against 55.2. The single biggest benchmark swing on the page is SWE-bench Pro, 58.4% to 55.6%. GPT-5.2 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $1.40 input / $4.40 output per 1M tokens for GLM-5.1. That is roughly 3.2x on output cost alone. GPT-5.2 gives you the larger context window at 400K, compared with 203K for GLM-5.1.
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 83 to 81. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 58.4% and 55.6%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 52.3. GLM-5.1 stays close enough that the answer can still flip depending on your workload.
GPT-5.2 has the edge for coding in this comparison, averaging 64.7 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 55.2. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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