Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5
77
GPT-5.4
93
Verified leaderboard positions: GLM-5 #12 · GPT-5.4 #4
Pick GPT-5.4 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+20.8 difference
Coding
+5.5 difference
Knowledge
+22.1 difference
GLM-5
GPT-5.4
$0 / $0
$2.5 / $15
74 t/s
74 t/s
1.64s
151.79s
200K
1.05M
Pick GPT-5.4 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.4 is clearly ahead on the provisional aggregate, 93 to 77. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in knowledge, where it averages 92.8 against 70.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 56.2% to 75.1%. GLM-5 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 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-5.4 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-5.4 gives you the larger context window at 1.05M, compared with 200K for GLM-5.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 93 to 77. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 56.2% and 75.1%.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 92.8 versus 70.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GLM-5 has the edge for coding in this comparison, averaging 63.2 versus 57.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77 versus 56.2. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
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