Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5
67
Hy3 Preview
62
Verified leaderboard positions: GLM-5 #17 · Hy3 Preview unranked
Pick GLM-5 if you want the stronger benchmark profile. Hy3 Preview only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
Agentic
+1.8 difference
Coding
+3.2 difference
Knowledge
+24.0 difference
Inst. Following
+29.5 difference
GLM-5
Hy3 Preview
$1 / $3.2
$0 / $0
74 t/s
N/A
1.64s
N/A
200K
256K
Pick GLM-5 if you want the stronger benchmark profile. Hy3 Preview only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
GLM-5 is clearly ahead on the provisional aggregate, 67 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5's sharpest advantage is in instruction following, where it averages 92.6 against 63.1. The single biggest benchmark swing on the page is HLE, 50.4% to 25.5%.
GLM-5 is also the more expensive model on tokens at $1.00 input / $3.20 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. Hy3 Preview is the reasoning model in the pair, while GLM-5 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. Hy3 Preview gives you the larger context window at 256K, compared with 200K for GLM-5.
GLM-5 is ahead on BenchLM's provisional leaderboard, 67 to 62. The biggest single separator in this matchup is HLE, where the scores are 50.4% and 25.5%.
GLM-5 has the edge for knowledge tasks in this comparison, averaging 70.7 versus 46.7. Inside this category, HLE is the benchmark that creates the most daylight between them.
GLM-5 has the edge for coding in this comparison, averaging 63.2 versus 60. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GLM-5 has the edge for agentic tasks in this comparison, averaging 56.2 versus 54.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GLM-5 has the edge for instruction following in this comparison, averaging 92.6 versus 63.1. Hy3 Preview stays close enough that the answer can still flip depending on your workload.
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