Ran 5 different prompts through gmi_cloud Router, same mode (Balanced) the whole time, no manual model picking.
Router split the work: Claude Opus 5 for the summary, math, and bug-fix tasks, but swapped to Qwen3.7-Max for a rewrite and Kimi-K3 for an architecture question when
Ran a real 3-turn LinkedIn research workflow through gmi_cloud Router in Balanced mode.
Here’s what it actually picked, turn by turn : Turn 1 — “Research 2026 AI/marketing trends and summarize 5 insights” → DeepSeek-V4-Flash-0731 → ~$0.047 cheaper than Claude Opus 4.8 Turn
I've been automating our ENTIRE advertorial production flow inside opus 5 on claude code mode…
And the conversion rates have been INSANE… so i decided to share the ENTIRE system: covering the setup, research flow, and ready-to-run prompt and skill files to build it ALL in
Elon musk pointed grok 4.6 at the source code openai open-sourced by accident
Had it rewritten in rust over a weekend, and shipped it free under apache-2.0. why pay $200 for gpt-5.6, $200 for opus 5 and $200 for grok when a local model plus kimi runs the same stack for $14 the
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