Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude 3.5 Sonnet
42
Gemma 4 31B
74
Pick Gemma 4 31B if you want the stronger benchmark profile. Claude 3.5 Sonnet only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+1.9 difference
Claude 3.5 Sonnet
Gemma 4 31B
$null / $null
$0 / $0
N/A
N/A
N/A
N/A
200K
256K
Pick Gemma 4 31B if you want the stronger benchmark profile. Claude 3.5 Sonnet only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Gemma 4 31B is clearly ahead on the provisional aggregate, 74 to 42. 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 59.4. The single biggest benchmark swing on the page is GPQA, 59.4% to 84.3%.
Gemma 4 31B is the reasoning model in the pair, while Claude 3.5 Sonnet 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 Claude 3.5 Sonnet.
Gemma 4 31B is ahead on BenchLM's provisional leaderboard, 74 to 42. The biggest single separator in this matchup is GPQA, where the scores are 59.4% and 84.3%.
Gemma 4 31B has the edge for knowledge tasks in this comparison, averaging 61.3 versus 59.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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