Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-5.4 is clearly ahead on the aggregate, 93 to 51. 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 87.7 against 41. The single biggest benchmark swing on the page is SWE-bench Verified, 84 to 41.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $2.50 input / $15.00 output per 1M tokens for GPT-5.4. That is roughly 4.0x on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, compared with 200K for o1.
Pick GPT-5.4 if you want the stronger benchmark profile. o1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.4
88
o1
83.8
GPT-5.4
87.7
o1
41
GPT-5.4
98
o1
74.3
GPT-5.4
96
o1
92.2
GPT-5.4 is ahead overall, 93 to 51. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 84 and 41.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 88 versus 83.8. 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 87.7 versus 41. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for math in this comparison, averaging 98 versus 74.3. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for instruction following in this comparison, averaging 96 versus 92.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.