Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
82
Hy3 Preview
60
Verified leaderboard positions: GLM-5.1 #29 · Hy3 Preview unranked
Pick GLM-5.1 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
+10.9 difference
Coding
+0.9 difference
Knowledge
+5.6 difference
GLM-5.1
Hy3 Preview
$1.4 / $4.4
$0 / $0
N/A
N/A
N/A
N/A
203K
256K
Pick GLM-5.1 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-5.1 is clearly ahead on the provisional aggregate, 82 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.1's sharpest advantage is in agentic, where it averages 65.3 against 54.4. The single biggest benchmark swing on the page is HLE, 52.3% to 25.5%.
GLM-5.1 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. Hy3 Preview gives you the larger context window at 256K, compared with 203K for GLM-5.1.
GLM-5.1 is ahead on BenchLM's provisional leaderboard, 82 to 60. The biggest single separator in this matchup is HLE, where the scores are 52.3% and 25.5%.
GLM-5.1 has the edge for knowledge tasks in this comparison, averaging 52.3 versus 46.7. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
GLM-5.1 has the edge for coding in this comparison, averaging 60.9 versus 60. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
GLM-5.1 has the edge for agentic tasks in this comparison, averaging 65.3 versus 54.4. Inside this category, Gert Labs is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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