Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7 (Adaptive)
85
DeepSeek V4 Pro (Max)
87
Verified leaderboard positions: Claude Opus 4.7 (Adaptive) #8 · DeepSeek V4 Pro (Max) #5
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. Claude Opus 4.7 (Adaptive) only becomes the better choice if knowledge is the priority.
Agentic
+0.9 difference
Coding
+3.0 difference
Knowledge
+2.1 difference
Claude Opus 4.7 (Adaptive)
DeepSeek V4 Pro (Max)
$5 / $25
$1.74 / $3.48
N/A
N/A
N/A
N/A
1M
1M
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. Claude Opus 4.7 (Adaptive) only becomes the better choice if knowledge is the priority.
DeepSeek V4 Pro (Max) has the cleaner provisional overall profile here, landing at 87 versus 85. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V4 Pro (Max)'s sharpest advantage is in coding, where it averages 75.9 against 72.9. The single biggest benchmark swing on the page is HLE, 54.7% to 37.7%. Claude Opus 4.7 (Adaptive) does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
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 (Max). That is roughly 7.2x on output cost alone.
DeepSeek V4 Pro (Max) is ahead on BenchLM's provisional leaderboard, 87 to 85. The biggest single separator in this matchup is HLE, where the scores are 54.7% and 37.7%.
Claude Opus 4.7 (Adaptive) has the edge for knowledge tasks in this comparison, averaging 68.2 versus 66.1. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 75.9 versus 72.9. 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 74. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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