Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
74
GLM-5.1
84
Pick GLM-5.1 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+9.0 difference
Gemma 4 31B
GLM-5.1
$0 / $0
$1.4 / $4.4
N/A
N/A
N/A
N/A
256K
203K
Pick GLM-5.1 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GLM-5.1 is clearly ahead on the provisional aggregate, 84 to 74. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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 Gemma 4 31B. That is roughly Infinityx on output cost alone. Gemma 4 31B 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, 84 to 74. The biggest single separator in this matchup is HLE, where the scores are 26.5% and 52.3%.
Gemma 4 31B has the edge for knowledge tasks in this comparison, averaging 61.3 versus 52.3. Inside this category, HLE is the benchmark that creates the most daylight between them.
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