Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.2
94
Grok 4.3
74
Verified leaderboard positions: GLM-5.2 #9 · Grok 4.3 unranked
Pick GLM-5.2 if you want the stronger benchmark profile. Grok 4.3 only becomes the better choice if you want the cheaper token bill.
Coding
+14.8 difference
Knowledge
+13.3 difference
GLM-5.2
Grok 4.3
$1.4 / $4.4
$1.25 / $2.5
N/A
209 t/s
N/A
12.36s
1M
1M
Pick GLM-5.2 if you want the stronger benchmark profile. Grok 4.3 only becomes the better choice if you want the cheaper token bill.
GLM-5.2 is clearly ahead on the provisional aggregate, 94 to 74. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.2's sharpest advantage is in coding, where it averages 62.1 against 47.3. The single biggest benchmark swing on the page is HLE, 54.7% to 35%.
GLM-5.2 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $1.25 input / $2.50 output per 1M tokens for Grok 4.3.
GLM-5.2 is ahead on BenchLM's provisional leaderboard, 94 to 74. The biggest single separator in this matchup is HLE, where the scores are 54.7% and 35%.
GLM-5.2 has the edge for knowledge tasks in this comparison, averaging 67.2 versus 53.9. Inside this category, HLE is the benchmark that creates the most daylight between them.
GLM-5.2 has the edge for coding in this comparison, averaging 62.1 versus 47.3. Grok 4.3 stays close enough that the answer can still flip depending on your workload.
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