A recent benchmark test evaluated six large language models on their accuracy and cost for routing customer service chats. GPT-6 Luna emerged as the top performer in identifying the customer's reason for contact and classifying their intent, achieving the highest zero-shot accuracy scores. Despite being the most cost-effective option at $0.11 per 1,000 chats, GPT-6 Luna was also the slowest model, with a median response time of 1.95 seconds per chat. AI
IMPACT This benchmark suggests GPT-6 Luna could be a cost-effective solution for customer service chat routing, though its speed may be a limiting factor.
RANK_REASON The cluster reports on a benchmark test of an LLM for a specific application (customer service chat routing), not a new model release from a frontier lab.
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