Recommendation: Select the model that best aligns with your primary production constraint (accuracy vs latency), but defer full rollout until memory usage and failure rate are measured. If immediate deployment is required, choose the model with the higher accuracy-to-latency ratio, implement strict error and resource monitoring, and maintain a rollback capability. Do not assume or invent memory or failure rate data; these must be measured in a staging environment before production commitment. If forced to pick one now without further testing, pick the model that minimizes your highest-risk business constraint (e.g., accuracy for compliance-heavy tasks, latency for real-time user-facing features), and monitor closely for instability. Final decision: Proceed conditionally based on known accuracy/latency trade-offs, but mandate measurement of missing metrics before scaling.