Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
74
GPT-4.1
61
Pick Gemma 4 31B if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Knowledge
+5.0 difference
Gemma 4 31B
GPT-4.1
$0 / $0
$2 / $8
N/A
108 t/s
N/A
1.02s
256K
1M
Pick Gemma 4 31B if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Gemma 4 31B is clearly ahead on the provisional aggregate, 74 to 61. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 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 is the reasoning model in the pair, while GPT-4.1 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. GPT-4.1 gives you the larger context window at 1M, compared with 256K for Gemma 4 31B.
Gemma 4 31B is ahead on BenchLM's provisional leaderboard, 74 to 61. The biggest single separator in this matchup is GPQA, where the scores are 84.3% and 66.3%.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 66.3 versus 61.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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