Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4
87
LongCat-2.0
80
Verified leaderboard positions: GPT-5.4 #19 · LongCat-2.0 unranked
Pick GPT-5.4 if you want the stronger benchmark profile. LongCat-2.0 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+6.2 difference
Coding
+1.8 difference
GPT-5.4
LongCat-2.0
$2.5 / $15
$0.75 / $2.95
74 t/s
N/A
151.79s
N/A
1.05M
1M
Pick GPT-5.4 if you want the stronger benchmark profile. LongCat-2.0 only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.4 is clearly ahead on the provisional aggregate, 87 to 80. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in agentic, where it averages 77 against 70.8. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 75.1% to 70.8%. LongCat-2.0 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $0.75 input / $2.95 output per 1M tokens for LongCat-2.0. That is roughly 5.1x on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for LongCat-2.0.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 87 to 80. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 75.1% and 70.8%.
LongCat-2.0 has the edge for coding in this comparison, averaging 59.5 versus 57.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77 versus 70.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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