Not Diamond is an AI model router that recommends the best LLM for each request based on quality, cost, latency, or custom evaluation data.

Who should use Not Diamond?

It is best for engineering teams building AI agents, coding agents, or production LLM apps that already use multiple models.

Does Not Diamond call the LLM for me?

Not Diamond recommends which model to use. Your app, gateway, or orchestration layer can then make the actual model request.

Can Not Diamond train custom routers?

Yes. Teams can train custom routers using their own evaluation data so routing decisions match their product quality goals.

It has a free Discovery plan with up to 100K monthly API routing requests, plus paid and custom enterprise plans.

Is Not Diamond good for coding agents?

Yes. Its current positioning focuses heavily on routing for coding agents and production AI workflows where cost and quality vary by task.

Not Diamond

Name: Not Diamond
Brand: Not Diamond

AI model router that selects the best LLM for each request.

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What is Not Diamond?

TL;DR

Not Diamond is an AI model routing platform that selects and routes requests across language models to balance quality, cost, latency, and task-specific performance. It is aimed at teams and builders who want practical, repeatable workflows with AI.

Intelligent model routing for LLM applications
Custom routers trained on evaluation data
Prompt optimization and model adaptation tools

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About

Not Diamond is an intelligent model router for teams building AI agents, coding agents, and multi-model applications. Instead of hardcoding one default model for every request, it predicts which model should handle each input based on quality, cost, latency, or a custom router trained on your own evaluation data. The platform is useful for engineering teams that already use several frontier and open models across production workflows. Not Diamond can recommend models through its API, Python SDK, TypeScript client, and REST endpoints, while letting your own gateway or orchestration layer make the final model call. For agent builders, the main value is better model selection without manually testing every prompt across every provider. Teams can use pre-trained routing, train custom routers, optimize prompts, add fallback rerouting, and reduce waste from sending simple tasks to expensive models. Not Diamond is best for teams that care about LLM cost control, model quality, routing observability, and production reliability. It is not a general chatbot marketplace. It is infrastructure for developers who need smarter model selection inside real AI products.

Use Cases

Model Routing

Route AI requests across different language models based on task requirements and performance goals.

Cost Optimization

Balance model quality and inference cost by selecting more efficient models for suitable tasks.

AI Application Routing

Add model selection logic to applications that need different models for different workloads.

Model Evaluation

Experiment with model choices and routing strategies to improve application performance.

Key Features

Intelligent model routing for LLM applications
Custom routers trained on evaluation data
Prompt optimization and model adaptation tools
Python, TypeScript, and REST API support

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