Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3.5 Flash
86
GLM-5.2
94
Verified leaderboard positions: Gemini 3.5 Flash #11 · GLM-5.2 #9
Pick GLM-5.2 if you want the stronger benchmark profile. Gemini 3.5 Flash only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Agentic
+3.8 difference
Coding
+7.6 difference
Knowledge
+9.2 difference
Gemini 3.5 Flash
GLM-5.2
$1.5 / $9
$1.4 / $4.4
284.2 t/s
N/A
18.55s
N/A
1M
1M
Pick GLM-5.2 if you want the stronger benchmark profile. Gemini 3.5 Flash only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GLM-5.2 is clearly ahead on the provisional aggregate, 94 to 86. 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 58. The single biggest benchmark swing on the page is HLE, 40.2% to 54.7%.
Gemini 3.5 Flash is also the more expensive model on tokens at $1.50 input / $9.00 output per 1M tokens, versus $1.40 input / $4.40 output per 1M tokens for GLM-5.2. That is roughly 2.0x on output cost alone.
GLM-5.2 is ahead on BenchLM's provisional leaderboard, 94 to 86. The biggest single separator in this matchup is HLE, where the scores are 40.2% and 54.7%.
GLM-5.2 has the edge for knowledge tasks in this comparison, averaging 67.2 versus 58. 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 54.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GLM-5.2 has the edge for agentic tasks in this comparison, averaging 81 versus 77.2. Inside this category, Toolathlon is the benchmark that creates the most daylight between them.
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