Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.4 is clearly ahead on the aggregate, 90 to 58. 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 84.5 against 33.2. The single biggest benchmark swing on the page is LiveCodeBench, 84 to 29.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $0.80 input / $1.60 output per 1M tokens for Aion-2.0. That is roughly 9.4x on output cost alone. GPT-5.4 is the reasoning model in the pair, while Aion-2.0 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 gives you the larger context window at 1.05M, compared with 128K for Aion-2.0.
Pick GPT-5.4 if you want the stronger benchmark profile. Aion-2.0 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4
87.8
Aion-2.0
51.7
GPT-5.4
84.5
Aion-2.0
33.2
GPT-5.4
95.5
Aion-2.0
66
GPT-5.4
95.8
Aion-2.0
70.3
GPT-5.4
82.6
Aion-2.0
54
GPT-5.4
96
Aion-2.0
93
GPT-5.4
94.7
Aion-2.0
78.1
GPT-5.4
98.2
Aion-2.0
72.1
GPT-5.4 is ahead overall, 90 to 58. The biggest single separator in this matchup is LiveCodeBench, where the scores are 84 and 29.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 82.6 versus 54. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for coding in this comparison, averaging 84.5 versus 33.2. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for math in this comparison, averaging 98.2 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for reasoning in this comparison, averaging 95.8 versus 70.3. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 87.8 versus 51.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for multimodal and grounded tasks in this comparison, averaging 95.5 versus 66. Inside this category, MMMU-Pro 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 93. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for multilingual tasks in this comparison, averaging 94.7 versus 78.1. Inside this category, MMLU-ProX 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.