Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
82
o1-pro
29
Verified leaderboard positions: GLM-5.1 #25 · 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, 82 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, 82 to 29.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 52.3. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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