Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.5
65
Gemma 4 E2B
23
Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Knowledge
+29.3 difference
Claude Sonnet 4.5
Gemma 4 E2B
$3 / $15
$0 / $0
N/A
N/A
N/A
N/A
200K
128K
Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Claude Sonnet 4.5 is clearly ahead on the provisional aggregate, 65 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.5's sharpest advantage is in knowledge, where it averages 83.4 against 54.1. The single biggest benchmark swing on the page is GPQA, 83.4% to 43.4%.
Claude Sonnet 4.5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 E2B. That is roughly Infinityx on output cost alone. Gemma 4 E2B is the reasoning model in the pair, while Claude Sonnet 4.5 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. Claude Sonnet 4.5 gives you the larger context window at 200K, compared with 128K for Gemma 4 E2B.
Claude Sonnet 4.5 is ahead on BenchLM's provisional leaderboard, 65 to 23. The biggest single separator in this matchup is GPQA, where the scores are 83.4% and 43.4%.
Claude Sonnet 4.5 has the edge for knowledge tasks in this comparison, averaging 83.4 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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