Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7 (Adaptive)
90
DeepSeek V4 Pro
71
Verified leaderboard positions: Claude Opus 4.7 (Adaptive) #5 · DeepSeek V4 Pro #22
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+15.8 difference
Coding
+14.1 difference
Knowledge
+18.8 difference
Claude Opus 4.7 (Adaptive)
DeepSeek V4 Pro
$5 / $25
$1.74 / $3.48
N/A
N/A
N/A
N/A
1M
1M
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Claude Opus 4.7 (Adaptive) is clearly ahead on the provisional aggregate, 90 to 71. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.7 (Adaptive)'s sharpest advantage is in knowledge, where it averages 68.2 against 49.4. The single biggest benchmark swing on the page is HLE, 54.7% to 7.7%.
Claude Opus 4.7 (Adaptive) is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro. That is roughly 7.2x on output cost alone. Claude Opus 4.7 (Adaptive) is the reasoning model in the pair, while DeepSeek V4 Pro 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.
Claude Opus 4.7 (Adaptive) is ahead on BenchLM's provisional leaderboard, 90 to 71. The biggest single separator in this matchup is HLE, where the scores are 54.7% and 7.7%.
Claude Opus 4.7 (Adaptive) has the edge for knowledge tasks in this comparison, averaging 68.2 versus 49.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
Claude Opus 4.7 (Adaptive) has the edge for coding in this comparison, averaging 72.9 versus 58.8. Inside this category, SWE-bench Verified 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 59.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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