Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro
71
Gemma 4 26B A4B
57
Verified leaderboard positions: DeepSeek V4 Pro #22 · Gemma 4 26B A4B unranked
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Knowledge
+0.2 difference
DeepSeek V4 Pro
Gemma 4 26B A4B
$1.74 / $3.48
$0 / $0
N/A
N/A
N/A
N/A
1M
256K
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
DeepSeek V4 Pro is clearly ahead on the provisional aggregate, 71 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro's sharpest advantage is in knowledge, where it averages 49.4 against 49.2. The single biggest benchmark swing on the page is HLE, 7.7% to 17.2%.
DeepSeek V4 Pro is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 26B A4B. That is roughly Infinityx on output cost alone. Gemma 4 26B A4B is the reasoning model in the pair, while DeepSeek V4 Pro 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 gives you the larger context window at 1M, compared with 256K for Gemma 4 26B A4B.
DeepSeek V4 Pro is ahead on BenchLM's provisional leaderboard, 71 to 57. The biggest single separator in this matchup is HLE, where the scores are 7.7% and 17.2%.
DeepSeek V4 Pro has the edge for knowledge tasks in this comparison, averaging 49.4 versus 49.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
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