Articles
Short research articles on curious, distinctive and practically relevant patterns revealed by the UniAIBench analysis.
Featured analysis
From results to questions
Each article isolates one finding, documents the supporting evidence and distinguishes observation from interpretation.

DeepSeek V4.1 Flash Takes First Place in 9 Composite Rankings
V4.1 Flash leads nine preset-and-subject combinations by combining 97.23 mean correctness with much shorter response times than earlier DeepSeek reasoning configurations.
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Mistral joins UniAIBench: accuracy, efficiency and trade-offs
Medium 3.5 and Small 4 deliver similar accuracy, while token use, response time and especially cost distinguish the two models.
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DeepSeek V4 Flash vs V4 Pro: no detectable accuracy advantage for Pro
A paired comparison across 60 university exercises finds no detectable accuracy advantage for Pro—but a clear economic difference.
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Same mathematics, different answer
Equivalent A/B exercises expose both robust competence and representation fragility.
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The exercise that separates GPT-5.6 Sol from the rest of the benchmark
One differential-equation problem exposed a 21-point gap driven by theoretical classification rather than symbolic calculation.
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When different AI models make the same mistake
Across the complete panel, 84.5% of substantial rubric failures occur at locations also failed by another provider.
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DeepSeek V4 Flash: thinking more, answering with fewer words
Thinking mode was nearly 11 points more accurate while making the visible answer 64% shorter—at higher total token, time and cost requirements.
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When models disagree with the answer key—and are right
Fable and Sol independently exposed a wrong reference value; a separate Sol proof went beyond the course solution.
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