Model Routing
Also known as: smart routing, AI router, model router.
In plain English
Routing logic typically considers three signals: task category (coding, image, writing, search), quality requirement (a casual rephrase doesn't need a frontier model), and cost sensitivity (batch jobs prefer cheap models, real-time chat prefers fast ones). Some routers also factor in user preferences (a power user might opt to always use the frontier model). Routing happens server-side, before the prompt is sent to the chosen model — there's no perceptible latency added.
Example
A user asks Vincony 'reformat this JSON.' Smart Routing sends the prompt to DeepSeek V3 (1 credit) instead of GPT-5.2 (3 credits). Same correctness on a routine task at 1/3 the price. The user sees the answer in the same chat with no extra steps.
Model Routing in Vincony
Vincony's Smart Routing analyzes every prompt and picks the optimal model based on task type, quality threshold, and cost. Users can override with a manual model picker.
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