Cheap open-weight releases like DeepSeek V4.1 Flash only lower agent costs when you route requests by true unit economics—cost per token, GPU utilization, and power—rather than by headline price per million tokens alone.
A practical guide to building eval gates that let you swap in cheap open-weight models like DeepSeek, Kimi, and GLM for agent tasks only when task-level accuracy, tool-call reliability, and cost-per-success metrics clear a defined threshold, set against the AI token economy's first deflationary…
JetBrains' Mellum2.1, a 12B MoE open-weight coding agent model reporting 47% on SWE-Bench, is worth running locally for narrow CI repair and PR-review loops — but only if you understand where its sparse-activation architecture and small active-parameter budget stop being enough.
An audit-oriented guide to self-hosted computer-use agent stacks — covering Holo4, JEV-27B, GUI-grounding fixes for element-blindness, and Shopify's browser-agent checkout support — and how to stress-test each layer for abuse before putting it near real money or real accounts.