Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3.2
57
Gemma 4 12B
53
Pick DeepSeek V3.2 if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if coding is the priority or you need the larger 256K context window.
Coding
+11.1 difference
DeepSeek V3.2
Gemma 4 12B
$0.28 / $0.42
N/A
35 t/s
N/A
3.75s
N/A
128K
256K
Pick DeepSeek V3.2 if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if coding is the priority or you need the larger 256K context window.
DeepSeek V3.2 is clearly ahead on the provisional aggregate, 57 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 12B is the reasoning model in the pair, while DeepSeek V3.2 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. Gemma 4 12B gives you the larger context window at 256K, compared with 128K for DeepSeek V3.2.
DeepSeek V3.2 is ahead on BenchLM's provisional leaderboard, 57 to 53.
Gemma 4 12B has the edge for coding in this comparison, averaging 72 versus 60.9. DeepSeek V3.2 stays close enough that the answer can still flip depending on your workload.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.