Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7
93
GPT-4.1
60
Verified leaderboard positions: Claude Opus 4.7 #2 · GPT-4.1 unranked
Pick Claude Opus 4.7 if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if you want the cheaper token bill.
Coding
+18.3 difference
Knowledge
+1.9 difference
Claude Opus 4.7
GPT-4.1
$5 / $25
$2 / $8
N/A
108 t/s
N/A
1.02s
1M
1M
Pick Claude Opus 4.7 if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if you want the cheaper token bill.
Claude Opus 4.7 is clearly ahead on the provisional aggregate, 93 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.7's sharpest advantage is in coding, where it averages 72.9 against 54.6. The single biggest benchmark swing on the page is SWE-bench Verified, 87.6% to 54.6%.
Claude Opus 4.7 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $2.00 input / $8.00 output per 1M tokens for GPT-4.1. That is roughly 3.1x on output cost alone.
Claude Opus 4.7 is ahead on BenchLM's provisional leaderboard, 93 to 60. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 87.6% and 54.6%.
Claude Opus 4.7 has the edge for knowledge tasks in this comparison, averaging 68.2 versus 66.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Opus 4.7 has the edge for coding in this comparison, averaging 72.9 versus 54.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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