Truth Behind the Numbers
Many developers pick models based solely on MMLU or HumanEval. However, in production, **Latency** and **Consistency** often outweigh raw intelligence scores.
What Benchmarks Miss
1. **Cultural Nuances**: A top-tier English benchmark model might struggle with localized contexts or specific language idioms.
2. **Schema Fidelity**: How strictly a model follows a JSON schema under heavy load is rarely captured in generic tests.
LegoStack Selection Guide
We provide an **Efficiency Score** that blends raw intelligence with DX and actual API costs. Use benchmarks as a baseline, but always test with your specific production data.