Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 26B A4B
55
GPT-5.4
89
Verified leaderboard positions: Gemma 4 26B A4B unranked · GPT-5.4 #14
Pick GPT-5.4 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Knowledge
+16.9 difference
Multimodal
+1.1 difference
Gemma 4 26B A4B
GPT-5.4
$0 / $0
$2.5 / $15
N/A
74 t/s
N/A
151.79s
256K
1.05M
Pick GPT-5.4 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
GPT-5.4 is clearly ahead on the provisional aggregate, 89 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in knowledge, where it averages 66.1 against 49.2. The single biggest benchmark swing on the page is HLE, 17.2% to 52.1%. Gemma 4 26B A4B does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 26B A4B. That is roughly Infinityx on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, compared with 256K for Gemma 4 26B A4B.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 89 to 55. The biggest single separator in this matchup is HLE, where the scores are 17.2% and 52.1%.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 66.1 versus 49.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Gemma 4 26B A4B has the edge for multimodal and grounded tasks in this comparison, averaging 73.8 versus 72.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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