NotDiamond is a model routing layer that sits between your application and multiple LLM providers. Instead of hard-coding which model to call, you send every request to NotDiamond and it classifies the task and routes it to the model that will perform best on that specific type of query, balancing quality and cost. The system is trained on millions of model comparisons across task categories: coding questions go to models with strong code performance, creative writing to models with strong literary output, math reasoning to models with strong chain-of-thought. You can configure routing preferences, set hard constraints (only use models under a certain cost), and track which models are selected over time via the dashboard. NotDiamond integrates as a simple API wrapper that's compatible with the OpenAI SDK, so migration is typically one line of code. It supports GPT-4o, Claude, Gemini, Llama, and Mistral variants. For high-volume API users who run mixed workloads, NotDiamond typically reduces costs by 10-30% while maintaining or improving average quality by routing cheap queries to efficient models.

What the community says

NotDiamond is discussed positively in AI engineering circles for solving a real cost optimization problem, with several case studies shared on LinkedIn and X showing meaningful cost reductions for high-volume use cases. Some engineers are skeptical about routing accuracy for ambiguous tasks and prefer explicit model selection for reliability. The OpenAI compatibility is consistently praised for making adoption frictionless, and the dashboard analytics are noted as useful for understanding usage patterns.

See alternatives to NotDiamond →