Hopper's voice-agent inference cloud lists 80 ms to first token against 600 ms
Hopper runs inference for real-time voice agents, where slow replies break a conversation. It trains models on a customer's production traces, then serves and improves them against live traffic. It lists 80 ms time to first token against 600 ms for GPT-4.1, and $0.30 per 1M input tokens against $2. Data is not retained by default.