Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 E2B
24
GLM-5.2
94
Verified leaderboard positions: Gemma 4 E2B unranked · GLM-5.2 #9
Pick GLM-5.2 if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the cheaper token bill.
Knowledge
+13.1 difference
Gemma 4 E2B
GLM-5.2
$0 / $0
$1.4 / $4.4
N/A
N/A
N/A
N/A
128K
1M
Pick GLM-5.2 if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the cheaper token bill.
GLM-5.2 is clearly ahead on the provisional aggregate, 94 to 24. 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 knowledge, where it averages 67.2 against 54.1. The single biggest benchmark swing on the page is GPQA, 43.4% to 91.2%.
GLM-5.2 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 E2B. That is roughly Infinityx on output cost alone. GLM-5.2 gives you the larger context window at 1M, compared with 128K for Gemma 4 E2B.
GLM-5.2 is ahead on BenchLM's provisional leaderboard, 94 to 24. The biggest single separator in this matchup is GPQA, where the scores are 43.4% and 91.2%.
GLM-5.2 has the edge for knowledge tasks in this comparison, averaging 67.2 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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