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 mini
47
Verified leaderboard positions: Claude Opus 4.7 #2 · GPT-4.1 mini unranked
Pick Claude Opus 4.7 if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if you want the cheaper token bill.
Coding
+49.3 difference
Knowledge
+4.0 difference
Claude Opus 4.7
GPT-4.1 mini
$5 / $25
$0.4 / $1.6
N/A
80 t/s
N/A
0.76s
1M
1M
Pick Claude Opus 4.7 if you want the stronger benchmark profile. GPT-4.1 mini 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 47. 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 23.6. The single biggest benchmark swing on the page is SWE-bench Verified, 87.6% to 23.6%.
Claude Opus 4.7 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. That is roughly 15.6x on output cost alone.
Claude Opus 4.7 is ahead on BenchLM's provisional leaderboard, 93 to 47. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 87.6% and 23.6%.
Claude Opus 4.7 has the edge for knowledge tasks in this comparison, averaging 68.2 versus 64.2. 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 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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