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 mini
70
Pick GPT-5.4 mini if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill.
Knowledge
+8.2 difference
Multimodal
+2.8 difference
Gemma 4 26B A4B
GPT-5.4 mini
$0 / $0
$0.75 / $4.5
N/A
201 t/s
N/A
3.85s
256K
400K
Pick GPT-5.4 mini if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill.
GPT-5.4 mini is clearly ahead on the provisional aggregate, 70 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 mini's sharpest advantage is in knowledge, where it averages 57.4 against 49.2. The single biggest benchmark swing on the page is HLE, 17.2% to 41.5%.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 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 mini gives you the larger context window at 400K, compared with 256K for Gemma 4 26B A4B.
GPT-5.4 mini is ahead on BenchLM's provisional leaderboard, 70 to 55. The biggest single separator in this matchup is HLE, where the scores are 17.2% and 41.5%.
GPT-5.4 mini has the edge for knowledge tasks in this comparison, averaging 57.4 versus 49.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for multimodal and grounded tasks in this comparison, averaging 76.6 versus 73.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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