Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
68
GPT-5.5
91
Verified leaderboard positions: GLM-4.7 unranked · GPT-5.5 #5
Pick GPT-5.5 if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Agentic
+36.2 difference
Coding
+12.0 difference
Knowledge
+5.8 difference
Math
+44.0 difference
GLM-4.7
GPT-5.5
$0 / $0
$5 / $30
82 t/s
N/A
1.10s
N/A
200K
1M
Pick GPT-5.5 if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
GPT-5.5 is clearly ahead on the provisional aggregate, 91 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in agentic, where it averages 81.5 against 45.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 41% to 82%. GLM-4.7 does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. That is roughly Infinityx on output cost alone. GPT-5.5 gives you the larger context window at 1M, compared with 200K for GLM-4.7.
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 91 to 68. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 41% and 82%.
GPT-5.5 has the edge for knowledge tasks in this comparison, averaging 66.4 versus 60.6. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for coding in this comparison, averaging 70.6 versus 58.6. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
GLM-4.7 has the edge for math in this comparison, averaging 95.7 versus 51.7. GPT-5.5 stays close enough that the answer can still flip depending on your workload.
GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.5 versus 45.3. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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