ClawRouter – Open-source LLM router that saves 78% on inference costs
The agent-native LLM router for autonomous agents. Every frontier model behind one wallet, <1ms local routing, USDC payments on Base & Solana via x402. - BlockRunAI/ClawRouter
ClawRouter – Open-source LLM router that saves 78% on inference costs launched on February 5, 2026 with 12 votes, #935 of 16,627 launches that month and more than 90% of that year's launches.
In plain words
ClawRouter is an open-source tool that directs requests to different large language models based on their needs. It helps teams reduce inference spending by routing simpler queries to cheaper models and complex tasks to more capable ones. Built for developers and AI teams managing multiple models, ClawRouter addresses the challenge of optimizing costs while maintaining performance across varying workload complexity.
written from the facts on this page · September 2026
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FastRouter.ai23d ago · fastrouter.ai · ▲364Route requests to the right LLM for cost, latency & quality

Smart model routing directly in Claude, Codex and CursorJun 2026 · github.com · ▲216We built a model router that plugs into coding agents (e.g. Claude Code, Codex, Cursor, etc.) and intelligently sends requests to the best model to serve them. Here's a quick demo of running it locally: https://www.youtube.com/watch?v=isKhAyivtfM. At Weave, we write most of our code with AI, and it's been getting more expensive. This came to a head when Opus 4.7 was released and, thanks to its tokenizer changes, our costs shot up. We knew we didn't need Opus for everything but we didn't want to lose out on the intelligence for the cases where you really need it. So we decided…



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