Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4
89
o3-mini
56
Verified leaderboard positions: GPT-5.4 #12 · o3-mini unranked
Pick GPT-5.4 if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Coding
+8.4 difference
Knowledge
+11.1 difference
GPT-5.4
o3-mini
$2.5 / $15
$1.1 / $4.4
74 t/s
160 t/s
151.79s
7.12s
1.05M
200K
Pick GPT-5.4 if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-5.4 is clearly ahead on the provisional aggregate, 89 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in coding, where it averages 57.7 against 49.3. The single biggest benchmark swing on the page is GPQA, 92.8% to 77.2%. o3-mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $1.10 input / $4.40 output per 1M tokens for o3-mini. That is roughly 3.4x on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, compared with 200K for o3-mini.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 89 to 56. The biggest single separator in this matchup is GPQA, where the scores are 92.8% and 77.2%.
o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 versus 66.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for coding in this comparison, averaging 57.7 versus 49.3. o3-mini stays close enough that the answer can still flip depending on your workload.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.