Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Aion-2.0 and GPT-4.1 mini finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
GPT-4.1 mini gives you the larger context window at 1M, compared with 128K for Aion-2.0.
Treat this as a split decision. Aion-2.0 makes more sense if mathematics is the priority; GPT-4.1 mini is the better fit if reasoning is the priority or you need the larger 1M context window.
Aion-2.0
51.7
GPT-4.1 mini
56.5
Aion-2.0
33.2
GPT-4.1 mini
28.8
Aion-2.0
66
GPT-4.1 mini
69.6
Aion-2.0
70.3
GPT-4.1 mini
80.9
Aion-2.0
54
GPT-4.1 mini
62.4
Aion-2.0
93
GPT-4.1 mini
88.5
Aion-2.0
78.1
GPT-4.1 mini
72
Aion-2.0
72.1
GPT-4.1 mini
23.1
Aion-2.0 and GPT-4.1 mini are tied on overall score, so the right pick depends on which category matters most for your use case.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 62.4 versus 54. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for coding in this comparison, averaging 33.2 versus 28.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for math in this comparison, averaging 72.1 versus 23.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for reasoning in this comparison, averaging 80.9 versus 70.3. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for agentic tasks in this comparison, averaging 56.5 versus 51.7. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for multimodal and grounded tasks in this comparison, averaging 69.6 versus 66. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for instruction following in this comparison, averaging 93 versus 88.5. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for multilingual tasks in this comparison, averaging 78.1 versus 72. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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