Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
65
GPT-5.4 Pro
91
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+12.3 difference
Multimodal
+17.1 difference
Gemma 4 31B
GPT-5.4 Pro
$0 / $0
$30 / $180
N/A
74 t/s
N/A
151.79s
256K
1.05M
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 91 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in multimodal & grounded, where it averages 94 against 76.9. The single biggest benchmark swing on the page is HLE, 26.5% to 58.7%. Gemma 4 31B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 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. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 256K for Gemma 4 31B.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 91 to 65. The biggest single separator in this matchup is HLE, where the scores are 26.5% and 58.7%.
Gemma 4 31B has the edge for knowledge tasks in this comparison, averaging 61.3 versus 49. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 76.9. 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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