In a recent experiment, five AI platforms—OpenAI’s ChatGPT, Google Gemini, HuggingChat, Claude, and Mistral AI—were evaluated based on their capacity to create an AI financial advisor capable of managing a hypothetical scenario involving $25,000 in investment and $30,000 in debt. The study aimed to assess user-friendliness and the quality of outcomes produced without requiring technical expertise.
- OpenAI ChatGPT: Rated 8.5/10 for overall performance, it excelled in both ease of setup (4/5) and quality of results (4.5/5). The platform provided a balanced user experience, adeptly producing a comprehensive financial strategy that demonstrated strong contextual awareness.
- Google Gemini: Scoring 7/10, Gemini was praised for its intuitive interface and good error handling (setup ease 4/5, results quality 3/5). It focused on gathering context before making recommendations but was less effective in generating immediate, actionable financial advice.
- HuggingChat: With a 6.5/10 rating, HuggingChat offered high customization (setup ease 2/5, results quality 4.5/5). While providing solid output, its complexity may overwhelm less experienced users.
- Claude: Scoring 5.5/10, Claude (setup ease 2.5/5, results quality 3/5) excelled in context processing but provided vague financial advice and required more careful prompting for optimal results.
- Mistral AI: Rated 5/10, Mistral’s platform (setup ease 2.5/5, results quality 2.5/5) was found to be developer-centric and less accessible for non-technical users, leading to inaccuracies in basic calculations within its financial plan.
The experiment underscored that while each platform has its strengths and weaknesses, the best results were contingent on user familiarity with each system. Overall, ChatGPT emerged as the most effective choice for creating an AI financial advisor, followed closely by Gemini, with HuggingChat offering significant potential for those seeking customization.
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