Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Composer 2.5
82
GPT-5.4 mini
70
Pick Composer 2.5 if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if you need the larger 400K context window.
Agentic
+3.7 difference
Composer 2.5
GPT-5.4 mini
$0.5 / $2.5
$0.75 / $4.5
N/A
201 t/s
N/A
3.85s
200K
400K
Pick Composer 2.5 if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if you need the larger 400K context window.
Composer 2.5 is clearly ahead on the provisional aggregate, 82 to 70. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Composer 2.5's sharpest advantage is in agentic, where it averages 69.3 against 65.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 69.3% to 60%.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $0.50 input / $2.50 output per 1M tokens for Composer 2.5. GPT-5.4 mini gives you the larger context window at 400K, compared with 200K for Composer 2.5.
Composer 2.5 is ahead on BenchLM's provisional leaderboard, 82 to 70. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 69.3% and 60%.
Composer 2.5 has the edge for agentic tasks in this comparison, averaging 69.3 versus 65.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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