Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Sibling matchup inside the Gemma 4 family.
Gemma 4 26B A4B
58
Gemma 4 31B
74
Gemma 4 26B A4B makes more sense if you want this variant’s specific profile, while Gemma 4 31B is the cleaner fit if knowledge is the priority.
Knowledge
+12.1 difference
Multimodal
+3.1 difference
Gemma 4 26B A4B
Gemma 4 31B
$0 / $0
$0 / $0
N/A
N/A
N/A
N/A
256K
256K
Gemma 4 26B A4B makes more sense if you want this variant’s specific profile, while Gemma 4 31B is the cleaner fit if knowledge is the priority.
Gemma 4 26B A4B and Gemma 4 31B sit in the same Gemma 4 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
Gemma 4 31B is clearly ahead on the provisional aggregate, 74 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 31B's sharpest advantage is in knowledge, where it averages 61.3 against 49.2. The single biggest benchmark swing on the page is HLE w/o tools, 8.7% to 19.5%.
Gemma 4 26B A4B and Gemma 4 31B are sibling variants in the Gemma 4 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. Gemma 4 31B is ahead on BenchLM's provisional leaderboard 74 to 58.
Gemma 4 31B has the edge for knowledge tasks in this comparison, averaging 61.3 versus 49.2. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Gemma 4 31B has the edge for multimodal and grounded tasks in this comparison, averaging 76.9 versus 73.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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