Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 26B A4B
56
o3-mini
53
Pick Gemma 4 26B A4B if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority.
Knowledge
+28.0 difference
Gemma 4 26B A4B
o3-mini
$0 / $0
$1.1 / $4.4
N/A
160 t/s
N/A
7.12s
256K
200K
Pick Gemma 4 26B A4B if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority.
Gemma 4 26B A4B has the cleaner provisional overall profile here, landing at 56 versus 53. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 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. Gemma 4 26B A4B gives you the larger context window at 256K, compared with 200K for o3-mini.
Gemma 4 26B A4B is ahead on BenchLM's provisional leaderboard, 56 to 53.
o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 versus 49.2. Inside this category, AA-HLE is the benchmark that creates the most daylight between them.
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