Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.5
64
Sakana Fugu Ultra
100
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+26.8 difference
Coding
+6.3 difference
Knowledge
+12.1 difference
Claude Sonnet 4.5
Sakana Fugu Ultra
$3 / $15
$5 / $30
N/A
N/A
N/A
N/A
200K
1M
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Sakana Fugu Ultra is clearly ahead on the provisional aggregate, 100 to 64. 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 55.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50% 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 $3.00 input / $15.00 output per 1M tokens for Claude Sonnet 4.5. That is roughly 2.0x on output cost alone. Sakana Fugu Ultra is the reasoning model in the pair, while Claude Sonnet 4.5 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. Sakana Fugu Ultra gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.5.
Sakana Fugu Ultra is ahead on BenchLM's provisional leaderboard, 100 to 64. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50% and 82.1%.
Sakana Fugu Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 83.4. 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 77.2. Claude Sonnet 4.5 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 55.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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