Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (High)
71
Gemma 4 E2B
27
Verified leaderboard positions: DeepSeek V4 Flash (High) #19 · Gemma 4 E2B unranked
Pick DeepSeek V4 Flash (High) if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the cheaper token bill.
Knowledge
+3.1 difference
DeepSeek V4 Flash (High)
Gemma 4 E2B
$0.14 / $0.28
$0 / $0
N/A
N/A
N/A
N/A
1M
128K
Pick DeepSeek V4 Flash (High) if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the cheaper token bill.
DeepSeek V4 Flash (High) is clearly ahead on the provisional aggregate, 71 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Flash (High)'s sharpest advantage is in knowledge, where it averages 57.2 against 54.1. The single biggest benchmark swing on the page is GPQA, 87.4% to 43.4%.
DeepSeek V4 Flash (High) is also the more expensive model on tokens at $0.14 input / $0.28 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. DeepSeek V4 Flash (High) gives you the larger context window at 1M, compared with 128K for Gemma 4 E2B.
DeepSeek V4 Flash (High) is ahead on BenchLM's provisional leaderboard, 71 to 27. The biggest single separator in this matchup is GPQA, where the scores are 87.4% and 43.4%.
DeepSeek V4 Flash (High) has the edge for knowledge tasks in this comparison, averaging 57.2 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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