Based on the information provided, a definitive production recommendation cannot be made without memory usage and failure rate data, as both directly impact infrastructure costs, scalability, and system reliability. However, you can proceed with a conditional decision framework:

- If accuracy is the primary business priority and latency differences fall within acceptable thresholds, tentatively favor the higher-accuracy model.
- If low latency is the critical constraint and accuracy is comparable, tentatively favor the lower-latency model.

**Recommendation:** Defer full production deployment until you run a targeted benchmark or shadow test to measure memory footprint and failure rate under realistic load. Once those metrics are captured, apply a weighted evaluation aligned with your operational priorities to finalize the selection. Do not commit to production until the missing metrics are validated.