9Router Connects AI Models With Fusion

9Router turns model switching into infrastructure, making frontier-model access more resilient and cost-conscious for developers. Fusion Mode is compelling for difficult tasks, but its extra latency, cost, and failure modes mean conventional fallback remains the practical default.

• –Smart routing can move requests from subscription providers to cheaper or free services when quotas or rate limits hit.
• –Fusion Mode enables multiple models to critique or complement one another before producing a final answer.
• –Built-in RTK compression reportedly cuts tool-result input tokens by 20–40%, addressing a major cost in agentic coding workflows.
• –The local OpenAI-compatible endpoint works across tools such as Claude Code, Codex, Cursor, Cline, and Copilot.
• –Community feedback highlights Fusion’s need for partial-failure handling when one panel model is unavailable. [GitHub issue](https://github.com/decolua/9router/issues/1877)