According to Beating AI monitoring, Cline calculated the self-hosting costs of Kimi K2.6 in real production. Processing 5.83 billion tokens monthly via API costs approximately $185,000. Running 16 NVIDIA B200 GPUs at full capacity for baseline traffic while routing remaining requests through API reduces the bill to $166,000, saving only about 10%.
Cline estimates dynamic GPU scheduling could boost savings to 22%-25%, with further optimization potentially reaching 35%-40%, though these strategies remain untested in production. The company concludes that self-hosting only becomes economically viable when annual API spending exceeds $500,000-$2 million; below that threshold, infrastructure and engineering costs typically outweigh savings.