Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-5.4 Pro is clearly ahead on the aggregate, 94 to 51. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in coding, where it averages 89 against 28.3. The single biggest benchmark swing on the page is SWE-bench Verified, 86 to 17.
GPT-5.4 Pro is the reasoning model in the pair, while Claude 3 Haiku 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-5.4 Pro gives you the larger context window at 1.05M, compared with 200K for Claude 3 Haiku.
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Claude 3 Haiku only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 Pro
88.8
Claude 3 Haiku
47.2
GPT-5.4 Pro
89
Claude 3 Haiku
28.3
GPT-5.4 Pro
98
Claude 3 Haiku
57
GPT-5.4 Pro
96.7
Claude 3 Haiku
60
GPT-5.4 Pro
97
Claude 3 Haiku
76
GPT-5.4 Pro
97
Claude 3 Haiku
73
GPT-5.4 Pro is ahead overall, 94 to 51. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 86 and 17.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 88.8 versus 47.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for coding in this comparison, averaging 89 versus 28.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for math in this comparison, averaging 98 versus 57. Inside this category, HMMT Feb 2023 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 96.7 versus 60. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for instruction following in this comparison, averaging 97 versus 76. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multilingual tasks in this comparison, averaging 97 versus 73. Inside this category, MGSM 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.