Altman Claims OpenAI More Cost-Effective Than Kimi K3 Under Specific Latency Requirements

Sam Altman asserts OpenAI offers better cost-efficiency than Kimi K3 for specific latency needs, acknowledging open-weight market persistence while dismissing distillation risks.

Woofun AI reports that OpenAI CEO Sam Altman addressed the Kimi K3 model on the "Invest Like the Best" podcast, emphasizing that OpenAI provides more cost-effective solutions under specific latency constraints compared to Kimi. Altman declined to label Kimi K3 as a milestone or provide direct capability comparisons, noting instead that OpenAI aims to deliver efficient models across various speed and price tiers. He acknowledged the enduring market for open-weight models due to user demand for customization, stating that OpenAI will continue to distill smaller, cheaper models from its larger architectures. Regarding competitive distillation, Altman indicated this is not a primary concern, asserting that future inference demand will generate sufficient revenue scale to sustain expensive model training despite lower profit margins.