Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 26B A4B
56
GPT-4.1
56
Treat this as a split decision. Gemma 4 26B A4B makes more sense if you want the cheaper token bill or you want the stronger reasoning-first profile; GPT-4.1 is the better fit if knowledge is the priority or you need the larger 1M context window.
Knowledge
+17.1 difference
Gemma 4 26B A4B
GPT-4.1
$0 / $0
$2 / $8
N/A
108 t/s
N/A
1.02s
256K
1M
Treat this as a split decision. Gemma 4 26B A4B makes more sense if you want the cheaper token bill or you want the stronger reasoning-first profile; GPT-4.1 is the better fit if knowledge is the priority or you need the larger 1M context window.
Gemma 4 26B A4B and GPT-4.1 finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 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. Gemma 4 26B A4B is the reasoning model in the pair, while GPT-4.1 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-4.1 gives you the larger context window at 1M, compared with 256K for Gemma 4 26B A4B.
Gemma 4 26B A4B and GPT-4.1 are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 66.3 versus 49.2. Inside this category, AA-HLE is the benchmark that creates the most daylight between them.
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