Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
65
Interfaze Beta
76
Pick Interfaze Beta if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Knowledge
+28.6 difference
Multimodal
+5.8 difference
Gemma 4 31B
Interfaze Beta
$0 / $0
$1.5 / $3.5
N/A
N/A
N/A
N/A
256K
1M
Pick Interfaze Beta if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Interfaze Beta is clearly ahead on the provisional aggregate, 76 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Interfaze Beta's sharpest advantage is in knowledge, where it averages 89.9 against 61.3. The single biggest benchmark swing on the page is MMMU-Pro, 76.9% to 71.1%. Gemma 4 31B does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Interfaze Beta is also the more expensive model on tokens at $1.50 input / $3.50 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. Interfaze Beta gives you the larger context window at 1M, compared with 256K for Gemma 4 31B.
Interfaze Beta is ahead on BenchLM's provisional leaderboard, 76 to 65. The biggest single separator in this matchup is MMMU-Pro, where the scores are 76.9% and 71.1%.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 61.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemma 4 31B has the edge for multimodal and grounded tasks in this comparison, averaging 76.9 versus 71.1. 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.
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