GMI Router Test: 3 Tasks Split Across 3 Models, Saving $0.02-0.03 Per Prompt
Shruti_0810 · x · 2026-08-28
A user gave GMI Cloud Router a session with three very different tasks — sales trend analysis, an API/caching math problem, and a JS performance bug. In Balanced mode the router dispatched them to Qwen3.7-Max, GPT-5.6-Luna, and DeepSeek-V4-Flash respectively instead of one frontier model.
The router picks from 21 eligible models per request based on task, quality target, and cost. Compared to defaulting to Claude Opus 4.8, it saved $0.02-0.03 per prompt — meaningful at scale. You can choose optimization mode (Quality / Balanced / Cost) and inspect the selected model plus routing metadata for each request.
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