Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 26B A4B
55
GPT-5.2
80
Pick GPT-5.2 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill.
Knowledge
+43.2 difference
Multimodal
+6.5 difference
Gemma 4 26B A4B
GPT-5.2
$0 / $0
$1.75 / $14
N/A
73 t/s
N/A
130.34s
256K
400K
Pick GPT-5.2 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill.
GPT-5.2 is clearly ahead on the provisional aggregate, 80 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 49.2. The single biggest benchmark swing on the page is MMMU-Pro, 73.8% to 79.5%.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 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-5.2 gives you the larger context window at 400K, compared with 256K for Gemma 4 26B A4B.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 80 to 55. The biggest single separator in this matchup is MMMU-Pro, where the scores are 73.8% and 79.5%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 49.2. Gemma 4 26B A4B stays close enough that the answer can still flip depending on your workload.
GPT-5.2 has the edge for multimodal and grounded tasks in this comparison, averaging 80.3 versus 73.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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