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 32. 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 reasoning, where it averages 70.3 against 36.1. The single biggest benchmark swing on the page is OpenBookQA, 75 to 25.
Aion-2.0 gives you the larger context window at 128K, compared with 32K for Mistral 7B v0.3.
Pick Aion-2.0 if you want the stronger benchmark profile. Mistral 7B v0.3 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Aion-2.0
51.7
Mistral 7B v0.3
26.4
Aion-2.0
33.2
Mistral 7B v0.3
13.2
Aion-2.0
66
Mistral 7B v0.3
32.4
Aion-2.0
70.3
Mistral 7B v0.3
36.1
Aion-2.0
54
Mistral 7B v0.3
30
Aion-2.0
93
Mistral 7B v0.3
68
Aion-2.0
78.1
Mistral 7B v0.3
60.7
Aion-2.0
72.1
Mistral 7B v0.3
43
Aion-2.0 is ahead overall, 58 to 32. The biggest single separator in this matchup is OpenBookQA, where the scores are 75 and 25.
Aion-2.0 has the edge for knowledge tasks in this comparison, averaging 54 versus 30. 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 13.2. Inside this category, HumanEval 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 43. 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 36.1. 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 26.4. Inside this category, BrowseComp 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 32.4. 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 68. 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 60.7. 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.