Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.2
94
Hy3 Preview
58
Verified leaderboard positions: GLM-5.2 #9 · Hy3 Preview unranked
Pick GLM-5.2 if you want the stronger benchmark profile. Hy3 Preview only becomes the better choice if you want the cheaper token bill.
Agentic
+26.6 difference
Coding
+2.1 difference
Knowledge
+20.5 difference
GLM-5.2
Hy3 Preview
$1.4 / $4.4
$0 / $0
N/A
N/A
N/A
N/A
1M
256K
Pick GLM-5.2 if you want the stronger benchmark profile. Hy3 Preview only becomes the better choice if you want the cheaper token bill.
GLM-5.2 is clearly ahead on the provisional aggregate, 94 to 58. 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 agentic, where it averages 81 against 54.4. The single biggest benchmark swing on the page is HLE, 54.7% to 25.5%.
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 Hy3 Preview. That is roughly Infinityx on output cost alone. GLM-5.2 gives you the larger context window at 1M, compared with 256K for Hy3 Preview.
GLM-5.2 is ahead on BenchLM's provisional leaderboard, 94 to 58. The biggest single separator in this matchup is HLE, where the scores are 54.7% and 25.5%.
GLM-5.2 has the edge for knowledge tasks in this comparison, averaging 67.2 versus 46.7. 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 60. Inside this category, Terminal-Bench 2.0 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 54.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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