arXiv AI
API Benchmark Scores Do Not Reliably Transfer to Chatbot Interfaces
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Sep 8
API Benchmark Scores Do Not Reliably Transfer to Chatbot Interfaces
The paper examines whether benchmark scores obtained via APIs accurately reflect the performance of AI chatbots when accessed through user interfaces. By auditing ChatGPT, Claude, and Gemini across seven systems and nine benchmarks, the authors find that API evaluations consistently overestimate accuracy and consistency compared to interface evaluations, with differences comparable to downgrading a full model generation. Attempts to align API behavior with interface behavior through prompt and parameter adjustments only partially close the gap.
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