Summary
A user is benchmarking 10 different LLMs, including local and open-source models like DeepSeek and Llama, against closed APIs for real-time options trading decisions. The system feeds identical market data to each LLM, which then independently decides when to buy or sell options on various assets. Surprisingly, the local models are proving to be competitive in this high-stakes financial task, suggesting their viability for real-time, consequence-driven applications.
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