Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5.1
74
Sakana Fugu Ultra
100
Verified leaderboard positions: GLM-5.1 #30 · Sakana Fugu Ultra unranked
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. GLM-5.1 only becomes the better choice if you want the cheaper token bill.
Agentic
+16.8 difference
Coding
+22.6 difference
Knowledge
+43.2 difference
GLM-5.1
Sakana Fugu Ultra
$1.4 / $4.4
$5 / $30
N/A
N/A
N/A
N/A
203K
1M
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. GLM-5.1 only becomes the better choice if you want the cheaper token bill.
Sakana Fugu Ultra is clearly ahead on the provisional aggregate, 100 to 74. 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 52.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63.5% 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 $1.40 input / $4.40 output per 1M tokens for GLM-5.1. That is roughly 6.8x on output cost alone. Sakana Fugu Ultra gives you the larger context window at 1M, compared with 203K for GLM-5.1.
Sakana Fugu Ultra is ahead on BenchLM's provisional leaderboard, 100 to 74. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63.5% and 82.1%.
Sakana Fugu Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 52.3. Inside this category, GPQA-D 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 60.9. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Sakana Fugu Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 65.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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