ChatGPT, DeepSeek and GigaChat Each Tried to Build a 100K Gaming PC
In March 2026, X-Com asked ChatGPT, DeepSeek and GigaChat to build a gaming PC for 100,000 rubles. None of the configurations was a complete failure, but ChatGPT chose an outdated platform, DeepSeek got the PCIe bus wrong, and GigaChat did not give exact prices. The best result is only useful as a draft for careful manual checking.
AI-processed from Habr AI; edited by Hamidun News
ChatGPT, DeepSeek and GigaChat were asked to build a gaming PC for 100,000 rubles in March 2026. No model produced an outright broken configuration, but each made a significant mistake, from an outdated platform to unrealistic prices and questionable savings.
Can a neural network help choose PC components?
Yes, but with errors. In the test, ChatGPT, DeepSeek and GigaChat were able to propose working configurations for 100,000 rubles, but each had flaws: outdated platforms, inaccurate prices in Russian stores and questionable cost optimization.
Which neural network is best at choosing PC components?
None of the tested models (ChatGPT, DeepSeek, GigaChat) produced a perfect configuration. Each made mistakes in its choice of platform, in the accuracy of prices or in the real savings within the budget.
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Key Questions Answered
Can a neural network help choose PC components?
Yes, but with errors. In the test, ChatGPT, DeepSeek and GigaChat were able to propose working configurations for 100,000 rubles, but each had flaws: outdated platforms, inaccurate prices in Russian stores and questionable cost optimization.
Which neural network is best at choosing PC components?
None of the tested models (ChatGPT, DeepSeek, GigaChat) produced a perfect configuration. Each made mistakes in its choice of platform, in the accuracy of prices or in the real savings within the budget.
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