Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude 3.5 Sonnet
41
Claude Opus 4.7 (Adaptive)
90
Verified leaderboard positions: Claude 3.5 Sonnet unranked · Claude Opus 4.7 (Adaptive) #5
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. Claude 3.5 Sonnet 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.
Coding
+23.9 difference
Knowledge
+8.8 difference
Claude 3.5 Sonnet
Claude Opus 4.7 (Adaptive)
$3 / $15
$5 / $25
N/A
N/A
N/A
N/A
200K
1M
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. Claude 3.5 Sonnet 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 41. 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 coding, where it averages 72.9 against 49. The single biggest benchmark swing on the page is SWE-bench Verified, 49% to 87.6%.
Claude Opus 4.7 (Adaptive) is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $3.00 input / $15.00 output per 1M tokens for Claude 3.5 Sonnet. Claude Opus 4.7 (Adaptive) is the reasoning model in the pair, while Claude 3.5 Sonnet 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) gives you the larger context window at 1M, compared with 200K for Claude 3.5 Sonnet.
Claude Opus 4.7 (Adaptive) is ahead on BenchLM's provisional leaderboard, 90 to 41. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 49% and 87.6%.
Claude Opus 4.7 (Adaptive) has the edge for knowledge tasks in this comparison, averaging 68.2 versus 59.4. Inside this category, GPQA 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 49. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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