🤖 Artificial Intelligence 5d ago · Muhammad Soliman

System 1 (Jev) Models: Faster and Cheaper Proxy to Frontier Models — With a Working Router

Towards AI
View Channel →
System 1 (Jev) Models: Faster and Cheaper Proxy to Frontier Models — With a Working Router
Source ↗ 👁 3 💬 0
Last Updated on October 6, 2026 by Editorial Team Author(s): Muhammad Soliman Originally published on Towards AI. Jev, Laya, Kev and Nimble in one place — plus a short, open proof of concept that puts one in front of a LiteLLM proxy and picks the model for every request. Ask your coding agent to rename a variable, and it will load a few hundred billion parameters to do it. Is it worth to pass everything to LLM as is and waste hundreds of thousands of tokens for simple questions/routing/decisions

Comments (0)

Sign in to join the discussion

More Like This

The 3 Files That Make Claude Code Much Smarter
Towards AI · 5d ago
The Number That Matters in Cloudflare’s Clef System-One Model Isn’t 38.8 ms — Jev and Laya compared
Towards AI · 5d ago
What Constrained Decoding Does That Prompting Never Can
Towards AI · 5d ago
Why Is Microsoft Foundry’s Content Filter Blocking Legitimate Medical Questions?
Towards AI · 5d ago
Production RBAC, Cost Optimization, and Deployment Patterns for Cortex Agents
Towards AI · 5d ago
Coding an Agent: Steering a Local Model
Towards AI · 5d ago