Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Command A+
32
Gemma 4 31B
65
Pick Gemma 4 31B if you want the stronger benchmark profile. Command A+ only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Multimodal
+17.1 difference
Command A+
Gemma 4 31B
$2.5 / $10
$0 / $0
272 t/s
N/A
0.25s
N/A
128K
256K
Pick Gemma 4 31B if you want the stronger benchmark profile. Command A+ only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Gemma 4 31B is clearly ahead on the provisional aggregate, 65 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 31B's sharpest advantage is in multimodal & grounded, where it averages 76.9 against 59.8. The single biggest benchmark swing on the page is MMMU-Pro, 63% to 76.9%.
Command A+ is also the more expensive model on tokens at $2.50 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 31B. That is roughly Infinityx on output cost alone. Gemma 4 31B gives you the larger context window at 256K, compared with 128K for Command A+.
Gemma 4 31B is ahead on BenchLM's provisional leaderboard, 65 to 32. The biggest single separator in this matchup is MMMU-Pro, where the scores are 63% and 76.9%.
Gemma 4 31B has the edge for multimodal and grounded tasks in this comparison, averaging 76.9 versus 59.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.