Dari 开源路由模型

79.8% on Terminal-Bench 2.1 for $76 in total inference cost. That's the number Dari @daridotdev is launching with today. They open-sourced the router model behind it: a small fine-tuned model that decides which model handles each step, sending most of them to cheaper options and only calling the expensive frontier models when they actually change the result. It factors the cache into that decision too, so it won't switch models when the cached path is the cheaper win. On the same 89-task suite, the frontier setups run into the thousands. Runs inside Claude Code, Codex, and Pi, you can bring your own Anthropic and OpenAI subscriptions, and the weights are on Hugging Face.  > **引用原帖 Avyay Varadarajan (@avyvar):** > Today, we're releasing our open-weight, auto-routing model @daridotdev, built for coding agents. > We're state-of-the-art on the Pareto Frontier, w/ 70% cost reduction + comparable coding performance to Fable. > Bring your own evals, choose your models, or use our defaults. https://t.co/35iU1LvLIl > https://x.com/avyvar/status/2080714589218766993