Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Fable 5
95
LongCat-2.0
80
Verified leaderboard positions: Claude Fable 5 #2 · LongCat-2.0 unranked
Pick Claude Fable 5 if you want the stronger benchmark profile. LongCat-2.0 only becomes the better choice if you want the cheaper token bill.
Agentic
+14.4 difference
Coding
+26.1 difference
Claude Fable 5
LongCat-2.0
$10 / $50
$0.75 / $2.95
N/A
N/A
N/A
N/A
1M+
1M
Pick Claude Fable 5 if you want the stronger benchmark profile. LongCat-2.0 only becomes the better choice if you want the cheaper token bill.
Claude Fable 5 is clearly ahead on the provisional aggregate, 95 to 80. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Fable 5's sharpest advantage is in coding, where it averages 85.6 against 59.5. The single biggest benchmark swing on the page is SWE-bench Pro, 80% to 59.5%.
Claude Fable 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $0.75 input / $2.95 output per 1M tokens for LongCat-2.0. That is roughly 16.9x on output cost alone. Claude Fable 5 gives you the larger context window at 1M+, compared with 1M for LongCat-2.0.
Claude Fable 5 is ahead on BenchLM's provisional leaderboard, 95 to 80. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 80% and 59.5%.
Claude Fable 5 has the edge for coding in this comparison, averaging 85.6 versus 59.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Fable 5 has the edge for agentic tasks in this comparison, averaging 85.2 versus 70.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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