Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
74
GLM-5
77
Verified leaderboard positions: Gemma 4 31B unranked · GLM-5 #10
Pick GLM-5 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if you need the larger 256K context window or you want the stronger reasoning-first profile.
Knowledge
+9.4 difference
Gemma 4 31B
GLM-5
$0 / $0
$0 / $0
N/A
74 t/s
N/A
1.64s
256K
200K
Pick GLM-5 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if you need the larger 256K context window or you want the stronger reasoning-first profile.
GLM-5 has the cleaner provisional overall profile here, landing at 77 versus 74. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GLM-5's sharpest advantage is in knowledge, where it averages 70.7 against 61.3. The single biggest benchmark swing on the page is HLE, 26.5% to 50.4%.
Gemma 4 31B 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. Gemma 4 31B gives you the larger context window at 256K, compared with 200K for GLM-5.
GLM-5 is ahead on BenchLM's provisional leaderboard, 77 to 74. The biggest single separator in this matchup is HLE, where the scores are 26.5% and 50.4%.
GLM-5 has the edge for knowledge tasks in this comparison, averaging 70.7 versus 61.3. Inside this category, HLE is the benchmark that creates the most daylight between them.
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