this post was submitted on 23 Feb 2026
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I tested 9 flagships (Claude 4.6, GPT-5.2, Gemini 3.1 Pro, Kimi K2.5, etc.) in my own mini-benchmark with novel tasks, web search disabled and zero training contamination and no cheating possible.

TL;DR: Claude 4.6 is currently the best reasoning model, GPT-5.2 is overrated, and open-source is catching up fast, in particular Moonshot.ai's Kimi K2.5 seems very capable.

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[–] Telorand@reddthat.com 15 points 2 days ago (2 children)

Obviously, my mini-benchmark only had 6 questions, and I ran it only once. This was obviously not scientifically rigorous. However it was systematic enough to trump just a mere feeling. ... If and when AI usage expands from here, we might actually not drown in AI slop as chances of accidentally crappy results decrease. This makes me positive about the future.

Spoken like a true AI apologist. You ran one test, and you extrapolated your results to an optimistic outcome that conspicuously matches what you wish to be true. Not scientifically rigorous? Bruh, this is the very definition of confirmation bias.

If this is actually a hypothesists you want to test, maybe contact some computer science researchers to see how to best design an experiment. Beyond that, this is virtually the same as flipping a coin once and drawing a conclusion about how often heads is the outcome.

[–] otto@programming.dev 0 points 2 days ago

Actually I set out with the assumption that flagship models would fail even on these fairly simple questions that I have seen them failing on before, but I was suprised they didn't all fail.