Model Routing Strategy

Users feel what matters most: how fast responses start and flow smoothly through completion.

Centralize fallback logic in a gateway to survive provider outages without duplicating retry code.

Teams waste more money defaulting to one expensive model than picking the right one for each task.

Licensing and reproducibility matter more than benchmark scores when selecting production models.

Benchmarks narrow your choices, but production costs, latency, and domain fit make the call.

Open-source models now match proprietary ones on specific tasks at a fraction of the cost.

Price cuts 75 percent, but throughput varies wildly by provider and compliance gaps remain.

Pick models by cost per token, latency at P95, and performance on your actual tasks.

DeepSeek's 350% peak-hour price hike erases years of cost advantage against OpenAI.

The tokenizer change hiding in plain sight costs production teams thousands before they notice it.

Claude excels at reasoning, but throughput and context limits constrain production workloads.