Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7 (Adaptive)
83
LongCat-2.0
80
Verified leaderboard positions: Claude Opus 4.7 (Adaptive) #10 · LongCat-2.0 unranked
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. LongCat-2.0 only becomes the better choice if you want the cheaper token bill.
Agentic
+4.1 difference
Coding
+13.4 difference
Claude Opus 4.7 (Adaptive)
LongCat-2.0
$5 / $25
$0.75 / $2.95
N/A
N/A
N/A
N/A
1M
1M
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. LongCat-2.0 only becomes the better choice if you want the cheaper token bill.
Claude Opus 4.7 (Adaptive) has the cleaner provisional overall profile here, landing at 83 versus 80. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Opus 4.7 (Adaptive)'s sharpest advantage is in coding, where it averages 72.9 against 59.5. The single biggest benchmark swing on the page is SWE-bench Pro, 64.3% to 59.5%.
Claude Opus 4.7 (Adaptive) is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.75 input / $2.95 output per 1M tokens for LongCat-2.0. That is roughly 8.5x on output cost alone.
Claude Opus 4.7 (Adaptive) is ahead on BenchLM's provisional leaderboard, 83 to 80. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 64.3% and 59.5%.
Claude Opus 4.7 (Adaptive) has the edge for coding in this comparison, averaging 72.9 versus 59.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.7 (Adaptive) has the edge for agentic tasks in this comparison, averaging 74.9 versus 70.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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