I used to run every code review pass on Opus 4.8.

So I tested a real 10-prompt code review workload through gmi_cloud Router in Cost mode to see how often I actually needed the frontier model. Here’s what happened: → 8/10 prompts were routed to DeepSeek V4 Pro and

Kalsoom (ghotai )Aug 2710

GMI estimated ~$0.11 in savings on one 3-step Python coding workflow.

I gave GMI Router the same e-commerce codebase and split the work into 3 requests: 👉 Code analysis → Cost Mode → DeepSeek-V4-Flash → ~$0.046 saved 👉 Debugging → Balanced Mode → DeepSeek-V4-Flash →

Anthara FairoozAug 275

Ollama brings open models into Claude Desktop

Ollama just turned Claude Desktop into a multi-model app. With version 0.33, developers can flip one toggle and use open models like DeepSeek, Qwen, Kimi or GLM right inside Anthropic's own interface, according to the company. 🔌

Eugenio FierroAug 27

~$0.076 estimated savings on a single coding/agentic request.

I tested gmi_cloud’s GMI Router on a real workflow in Balanced mode and watched it route each turn independently: → Coding/agentic task → DeepSeek-V4-Flash-0731 → Other requests → GPT-5.6-Luna → Estimated

Marry EvanAug 277