Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro Base
43
Gemma 4 E4B
40
Pick DeepSeek V4 Pro Base if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Knowledge
+2.2 difference
DeepSeek V4 Pro Base
Gemma 4 E4B
$null / $null
$0 / $0
N/A
N/A
N/A
N/A
1M
128K
Pick DeepSeek V4 Pro Base if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
DeepSeek V4 Pro Base has the cleaner provisional overall profile here, landing at 43 versus 40. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Gemma 4 E4B is the reasoning model in the pair, while DeepSeek V4 Pro Base 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. DeepSeek V4 Pro Base gives you the larger context window at 1M, compared with 128K for Gemma 4 E4B.
DeepSeek V4 Pro Base is ahead on BenchLM's provisional leaderboard, 43 to 40. The biggest single separator in this matchup is MMLU-Pro, where the scores are 73.5% and 69.4%.
Gemma 4 E4B has the edge for knowledge tasks in this comparison, averaging 65.6 versus 63.4. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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