Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
64
GPT-5.5
91
Verified leaderboard positions: Gemma 4 31B unranked · GPT-5.5 #5
Pick GPT-5.5 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.
Coding
+17.0 difference
Knowledge
+5.1 difference
Multimodal
+6.5 difference
Gemma 4 31B
GPT-5.5
$0 / $0
$5 / $30
N/A
N/A
N/A
N/A
256K
1M
Pick GPT-5.5 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.
GPT-5.5 is clearly ahead on the provisional aggregate, 91 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in coding, where it averages 58.6 against 41.6. The single biggest benchmark swing on the page is HLE, 26.5% to 52.2%. 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.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 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-5.5 gives you the larger context window at 1M, compared with 256K for Gemma 4 31B.
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 91 to 64. The biggest single separator in this matchup is HLE, where the scores are 26.5% and 52.2%.
GPT-5.5 has the edge for knowledge tasks in this comparison, averaging 66.4 versus 61.3. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
GPT-5.5 has the edge for coding in this comparison, averaging 58.6 versus 41.6. Inside this category, Terminal-Bench Hard 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 70.4. Inside this category, AA-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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