Based on the information provided, I cannot safely recommend a final production deployment without knowing memory usage and failure rates, as both are critical for infrastructure scaling, cost estimation, and system reliability.

If a decision must be made immediately using only accuracy and latency:
- Choose the model that meets your minimum accuracy threshold while staying within your maximum acceptable latency budget.
- Explicitly flag memory and failure rate as open risks that must be validated in staging under production-like load before go-live.

**Final Recommendation:** Defer the final production decision until memory usage and failure rates are measured. If forced to choose now, select the model that best satisfies your accuracy and latency requirements, but do not proceed to production without validating the missing metrics first. This approach strictly avoids inventing data while maintaining production safety standards.