A Mozilla report shows frontier AI models from US companies like Anthropic offer only a 4.4-month performance advantage over Chinese open-source alternatives like Moonshot's Kimi K3, while costing 5 times more. Most organizations should default to cheaper open models for routine work, reserving expensive closed models for specialized tasks requiring expert professional work, intensive retrieval, or long context processing.
According to a Mozilla report, the performance gap between US frontier AI models and Chinese open-source models has narrowed to 4.4 months, with open models costing 70% less. Most organizations should default to cheaper open models for routine work, reserving expensive frontier models only for specialized tasks like expert professional work and long-context processing.
GPT-5.6 Luna costs 28x less than GPT-6 Astra for code review ($0.0041 vs $0.113 per review) but finds fewer bugs: 69 verified bugs versus Astra's 92 across 50 pull requests, with a 24% false-positive rate compared to Astra's 4%. Luna is suitable for everyday correctness issues but unreliable for security-critical code like authentication and permissions.