Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5
77
GPT-5.2
83
Verified leaderboard positions: GLM-5 #12 · GPT-5.2 unranked
Pick GPT-5.2 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if reasoning is the priority or you want the cheaper token bill.
Agentic
+1.0 difference
Coding
+1.5 difference
Reasoning
+7.9 difference
Knowledge
+21.7 difference
GLM-5
GPT-5.2
$0 / $0
$2 / $8
74 t/s
73 t/s
1.64s
130.34s
200K
400K
Pick GPT-5.2 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if reasoning is the priority or you want the cheaper token bill.
GPT-5.2 is clearly ahead on the provisional aggregate, 83 to 77. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 70.7. The single biggest benchmark swing on the page is GPQA, 86% to 92.4%. GLM-5 does hit back in reasoning, 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 $2.00 input / $8.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-5. That is roughly Infinityx on output cost alone. GPT-5.2 is the reasoning model in the pair, while GLM-5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.2 gives you the larger context window at 400K, compared with 200K for GLM-5.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 83 to 77. The biggest single separator in this matchup is GPQA, where the scores are 86% and 92.4%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 70.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for coding in this comparison, averaging 64.7 versus 63.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GLM-5 has the edge for reasoning in this comparison, averaging 60.8 versus 52.9. GPT-5.2 stays close enough that the answer can still flip depending on your workload.
GLM-5 has the edge for agentic tasks in this comparison, averaging 56.2 versus 55.2. GPT-5.2 stays close enough that the answer can still flip depending on your workload.
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