Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.2
94
Grok Code Fast 1
39
Verified leaderboard positions: GLM-5.2 #9 · Grok Code Fast 1 unranked
Pick GLM-5.2 if you want the stronger benchmark profile. Grok Code Fast 1 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Coding
+8.7 difference
GLM-5.2
Grok Code Fast 1
$1.4 / $4.4
$0.2 / $1.5
N/A
172 t/s
N/A
2.81s
1M
256K
Pick GLM-5.2 if you want the stronger benchmark profile. Grok Code Fast 1 only becomes the better choice if coding is the priority or you want the cheaper token bill.
GLM-5.2 is clearly ahead on the provisional aggregate, 94 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.2 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $0.20 input / $1.50 output per 1M tokens for Grok Code Fast 1. That is roughly 2.9x on output cost alone. GLM-5.2 is the reasoning model in the pair, while Grok Code Fast 1 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. GLM-5.2 gives you the larger context window at 1M, compared with 256K for Grok Code Fast 1.
GLM-5.2 is ahead on BenchLM's provisional leaderboard, 94 to 39.
Grok Code Fast 1 has the edge for coding in this comparison, averaging 70.8 versus 62.1. GLM-5.2 stays close enough that the answer can still flip depending on your workload.
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