Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.8
93
DeepSeek V4 Pro (High)
83
Verified leaderboard positions: Claude Opus 4.8 #3 · DeepSeek V4 Pro (High) #10
Pick Claude Opus 4.8 if you want the stronger benchmark profile. DeepSeek V4 Pro (High) only becomes the better choice if you want the cheaper token bill.
Agentic
+10.1 difference
Coding
+2.6 difference
Knowledge
+7.5 difference
Claude Opus 4.8
DeepSeek V4 Pro (High)
$5 / $25
$1.74 / $3.48
N/A
N/A
N/A
N/A
1M
1M
Pick Claude Opus 4.8 if you want the stronger benchmark profile. DeepSeek V4 Pro (High) only becomes the better choice if you want the cheaper token bill.
Claude Opus 4.8 is clearly ahead on the provisional aggregate, 93 to 83. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.8's sharpest advantage is in agentic, where it averages 80.1 against 70. The single biggest benchmark swing on the page is HLE, 57.9% to 34.5%.
Claude Opus 4.8 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 (High). That is roughly 7.2x on output cost alone.
Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 93 to 83. The biggest single separator in this matchup is HLE, where the scores are 57.9% and 34.5%.
Claude Opus 4.8 has the edge for knowledge tasks in this comparison, averaging 70.1 versus 62.6. Inside this category, HLE is the benchmark that creates the most daylight between them.
Claude Opus 4.8 has the edge for coding in this comparison, averaging 76.4 versus 73.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.8 has the edge for agentic tasks in this comparison, averaging 80.1 versus 70. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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