Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
83
o1-pro
29
Verified leaderboard positions: GLM-5.1 #21 · o1-pro unranked
Pick GLM-5.1 if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority.
Knowledge
+26.7 difference
GLM-5.1
o1-pro
$1.4 / $4.4
$150 / $600
N/A
N/A
N/A
N/A
203K
200K
Pick GLM-5.1 if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority.
GLM-5.1 is clearly ahead on the provisional aggregate, 83 to 29. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $1.40 input / $4.40 output per 1M tokens for GLM-5.1. That is roughly 136.4x on output cost alone. GLM-5.1 gives you the larger context window at 203K, compared with 200K for o1-pro.
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 83 to 29.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 52.3. GLM-5.1 stays close enough that the answer can still flip depending on your workload.
Estimates at 50,000 req/day · 1000 tokens/req average.
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