Kim: Competitor coding models lacked compelling price points
Christina Kim · GPT-5 and Agents Breakdown – w/ OpenAI Researchers Isa Fulford & Christina Kim · Aug 8, 2025 · at 6:36
Christina Kim, post-training research lead at OpenAI, contrasts GPT-5's price-to-performance ratio in coding against rival AI models.
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“Maybe like previous competitor models were, are good at coding, but the price point is not as exciting.”
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More from Christina Kim
Kim: Real-world usage will replace saturated benchmarks to measure AI progress
“I feel like we've almost saturated a lot of these evals, and the real, like, metric of, like, how good our models are getting is, I think, gonna be, like, usage, right?”
Kim: Training tasks and RL environments matter more than algorithmic advances
“Tasks matter more at this point, given the fact that we have such a strong algorithm so I think the data, creating data and figuring out, like, the best tasks to train on is, like, the, One of the big questions we have.”
Kim: The leap from GPT-4 to GPT-5 is OpenAI's most impressive yet
“Maybe I'm biased, recency biased, but I think to jump to four to five is most impressive for me, because I guess with 3.5 when we first released it, the most common use case for me then also was still just for coding. And, but now, like, Even though four was b…”
Kim: GPT-5 internal testers felt insulted by instant answers to hard questions
“I think we hear this with GPT-Five internally when people are testing and they're like, oh, I thought I asked like a really hard question. I feel like a little bit insulted that I thought for like two seconds or like when it doesn't even want to think at all.”