Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Mythos 5
99
Sakana Fugu Ultra
100
Verified leaderboard positions: Claude Mythos 5 #1 · Sakana Fugu Ultra unranked
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. Claude Mythos 5 only becomes the better choice if agentic is the priority.
Agentic
+4.9 difference
Coding
+2.4 difference
Knowledge
+20.9 difference
Claude Mythos 5
Sakana Fugu Ultra
$10 / $50
$5 / $30
N/A
N/A
N/A
N/A
1M+
1M
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. Claude Mythos 5 only becomes the better choice if agentic is the priority.
Sakana Fugu Ultra finishes one point ahead on BenchLM's provisional leaderboard, 100 to 99. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Sakana Fugu Ultra's sharpest advantage is in knowledge, where it averages 95.5 against 74.6. The single biggest benchmark swing on the page is SWE-bench Pro, 80.3% to 73.7%. Claude Mythos 5 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Claude Mythos 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $5.00 input / $30.00 output per 1M tokens for Sakana Fugu Ultra. Claude Mythos 5 gives you the larger context window at 1M+, compared with 1M for Sakana Fugu Ultra.
Sakana Fugu Ultra is ahead on BenchLM's provisional leaderboard, 100 to 99. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 80.3% and 73.7%.
Sakana Fugu Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 74.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Mythos 5 has the edge for coding in this comparison, averaging 85.9 versus 83.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Mythos 5 has the edge for agentic tasks in this comparison, averaging 87 versus 82.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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