Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
75
Sakana Fugu Ultra
100
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if you want the cheaper token bill.
Agentic
+27.5 difference
Coding
+6.7 difference
Knowledge
+8.2 difference
Kimi K2.5 (Reasoning)
Sakana Fugu Ultra
$0.6 / $3
$5 / $30
N/A
N/A
N/A
N/A
128K
1M
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if you want the cheaper token bill.
Sakana Fugu Ultra is clearly ahead on the provisional aggregate, 100 to 75. 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 agentic, where it averages 82.1 against 54.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50.8% to 82.1%.
Sakana Fugu Ultra is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.60 input / $3.00 output per 1M tokens for Kimi K2.5 (Reasoning). That is roughly 10.0x on output cost alone. Sakana Fugu Ultra gives you the larger context window at 1M, compared with 128K for Kimi K2.5 (Reasoning).
Sakana Fugu Ultra is ahead on BenchLM's provisional leaderboard, 100 to 75. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50.8% and 82.1%.
Sakana Fugu Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 87.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Sakana Fugu Ultra has the edge for coding in this comparison, averaging 83.5 versus 76.8. Kimi K2.5 (Reasoning) stays close enough that the answer can still flip depending on your workload.
Sakana Fugu Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 54.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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