Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Aion-2.0 is clearly ahead on the aggregate, 58 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Aion-2.0's sharpest advantage is in coding, where it averages 33.2 against 17.2. The single biggest benchmark swing on the page is SWE-bench Verified, 35 to 5.
Pick Aion-2.0 if you want the stronger benchmark profile. GPT-4 Turbo only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Aion-2.0
51.7
GPT-4 Turbo
44.7
Aion-2.0
33.2
GPT-4 Turbo
17.2
Aion-2.0
66
GPT-4 Turbo
55.3
Aion-2.0
70.3
GPT-4 Turbo
61
Aion-2.0
54
GPT-4 Turbo
41.1
Aion-2.0
93
GPT-4 Turbo
80
Aion-2.0
78.1
GPT-4 Turbo
68.5
Aion-2.0
72.1
GPT-4 Turbo
64.4
Aion-2.0 is ahead overall, 58 to 47. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 35 and 5.
Aion-2.0 has the edge for knowledge tasks in this comparison, averaging 54 versus 41.1. Inside this category, OpenBookQA 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 17.2. 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 64.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for reasoning in this comparison, averaging 70.3 versus 61. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for agentic tasks in this comparison, averaging 51.7 versus 44.7. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for multimodal and grounded tasks in this comparison, averaging 66 versus 55.3. Inside this category, OfficeQA 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 80. 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 68.5. 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.