Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1
60
GPT-5.3 Codex
89
Pick GPT-5.3 Codex if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Coding
+8.5 difference
GPT-4.1
GPT-5.3 Codex
$2 / $8
$1.75 / $14
108 t/s
79 t/s
1.02s
88.26s
1M
400K
Pick GPT-5.3 Codex if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
GPT-5.3 Codex is clearly ahead on the provisional aggregate, 89 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.3 Codex's sharpest advantage is in coding, where it averages 63.1 against 54.6. The single biggest benchmark swing on the page is SWE-bench Verified, 54.6% to 85%.
GPT-5.3 Codex is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $2.00 input / $8.00 output per 1M tokens for GPT-4.1. GPT-5.3 Codex is the reasoning model in the pair, while GPT-4.1 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. GPT-4.1 gives you the larger context window at 1M, compared with 400K for GPT-5.3 Codex.
GPT-5.3 Codex is ahead on BenchLM's provisional leaderboard, 89 to 60. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 54.6% and 85%.
GPT-5.3 Codex has the edge for coding in this comparison, averaging 63.1 versus 54.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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