Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7
93
Gemma 4 E2B
28
Verified leaderboard positions: Claude Opus 4.7 #2 · Gemma 4 E2B unranked
Pick Claude Opus 4.7 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
+14.1 difference
Claude Opus 4.7
Gemma 4 E2B
$5 / $25
$0 / $0
N/A
N/A
N/A
N/A
1M
128K
Pick Claude Opus 4.7 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 Opus 4.7 is clearly ahead on the provisional aggregate, 93 to 28. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.7's sharpest advantage is in knowledge, where it averages 68.2 against 54.1. The single biggest benchmark swing on the page is GPQA, 94.2% to 43.4%.
Claude Opus 4.7 is also the more expensive model on tokens at $5.00 input / $25.00 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 Opus 4.7 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 Opus 4.7 gives you the larger context window at 1M, compared with 128K for Gemma 4 E2B.
Claude Opus 4.7 is ahead on BenchLM's provisional leaderboard, 93 to 28. The biggest single separator in this matchup is GPQA, where the scores are 94.2% and 43.4%.
Claude Opus 4.7 has the edge for knowledge tasks in this comparison, averaging 68.2 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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