Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 26B A4B
55
GLM-5.1
83
Verified leaderboard positions: Gemma 4 26B A4B unranked · GLM-5.1 #23
Pick GLM-5.1 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
Knowledge
+3.1 difference
Gemma 4 26B A4B
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 26B A4B 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, 83 to 55. 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 knowledge, where it averages 52.3 against 49.2. The single biggest benchmark swing on the page is HLE, 17.2% to 52.3%.
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 26B A4B. That is roughly Infinityx on output cost alone. Gemma 4 26B A4B 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, 83 to 55. The biggest single separator in this matchup is HLE, where the scores are 17.2% and 52.3%.
GLM-5.1 has the edge for knowledge tasks in this comparison, averaging 52.3 versus 49.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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