Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 E2B
26
Sakana Fugu Ultra
100
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the cheaper token bill.
Knowledge
+41.4 difference
Gemma 4 E2B
Sakana Fugu Ultra
$0 / $0
$5 / $30
N/A
N/A
N/A
N/A
128K
1M
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the cheaper token bill.
Sakana Fugu Ultra is clearly ahead on the provisional aggregate, 100 to 26. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Sakana Fugu Ultra's sharpest advantage is in knowledge, where it averages 95.5 against 54.1. The single biggest benchmark swing on the page is GPQA, 43.4% to 95.5%.
Sakana Fugu Ultra is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 E2B. That is roughly Infinityx on output cost alone. Sakana Fugu Ultra gives you the larger context window at 1M, compared with 128K for Gemma 4 E2B.
Sakana Fugu Ultra is ahead on BenchLM's provisional leaderboard, 100 to 26. The biggest single separator in this matchup is GPQA, where the scores are 43.4% and 95.5%.
Sakana Fugu Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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