Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Ling 2.6 Flash
36
Sakana Fugu Ultra
100
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+56.5 difference
Knowledge
+36.5 difference
Ling 2.6 Flash
Sakana Fugu Ultra
$null / $null
$5 / $30
209.5 t/s
N/A
1.07s
N/A
262K
1M
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if 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 36. 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 coding, where it averages 83.5 against 27. The single biggest benchmark swing on the page is GPQA, 59% to 95.5%.
Sakana Fugu Ultra is the reasoning model in the pair, while Ling 2.6 Flash 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 262K for Ling 2.6 Flash.
Sakana Fugu Ultra is ahead on BenchLM's provisional leaderboard, 100 to 36. The biggest single separator in this matchup is GPQA, where the scores are 59% and 95.5%.
Sakana Fugu Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 59. 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 27. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.
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