Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (High)
70
LongCat-2.0
80
Verified leaderboard positions: DeepSeek V4 Flash (High) #28 · LongCat-2.0 unranked
Pick LongCat-2.0 if you want the stronger benchmark profile. DeepSeek V4 Flash (High) only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+15.4 difference
Coding
+12.7 difference
DeepSeek V4 Flash (High)
LongCat-2.0
$0.14 / $0.28
$0.75 / $2.95
N/A
N/A
N/A
N/A
1M
1M
Pick LongCat-2.0 if you want the stronger benchmark profile. DeepSeek V4 Flash (High) only becomes the better choice if coding is the priority or you want the cheaper token bill.
LongCat-2.0 is clearly ahead on the provisional aggregate, 80 to 70. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
LongCat-2.0's sharpest advantage is in agentic, where it averages 70.8 against 55.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 56.6% to 70.8%. DeepSeek V4 Flash (High) does hit back in coding, so the answer changes if that is the part of the workload you care about most.
LongCat-2.0 is also the more expensive model on tokens at $0.75 input / $2.95 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (High). That is roughly 10.5x on output cost alone.
LongCat-2.0 is ahead on BenchLM's provisional leaderboard, 80 to 70. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 56.6% and 70.8%.
DeepSeek V4 Flash (High) has the edge for coding in this comparison, averaging 72.2 versus 59.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
LongCat-2.0 has the edge for agentic tasks in this comparison, averaging 70.8 versus 55.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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