MLflow vs Not Diamond
On the evidence we track, MLflow leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for llm gateways. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
MLflow
LeaderA comprehensive platform that helps teams debug, evaluate, monitor, and optimize production AI applications. Provides experiment tracking, prompt management, model deployment, systematic evaluation tools, and a unified API gateway for managing access to multiple LLM providers with cost controls.
Not Diamond
A model routing service for coding agents that uses machine learning to predict and recommend the most cost-effective and accurate AI model for each request. Engineering teams typically achieve 20-40% cost savings without quality degradation through continuous learning from real usage patterns.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Not Diamond
$0.05 per million tokens; enterprise plans available
- Pay-as-you-go$0.05 per million tokens routed
- Multi-harness support
- Multi-provider support
- Savings and usage dashboard
- Continuous learning from harness usage
- EnterpriseContact sales
- Volume-based discounts
- Organization-wide analytics
- Advanced security and admin controls
- SSO with SAML
- Privacy-preserving deployment
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
MLflow
Leader- Databricks
- AWS S3
- Google Cloud Storage
- Azure Storage
- AzureML
- Kubernetes
- LangChain
- Pydantic AI
- Anthropic Claude
- OpenAI
- Google Gemini
- SAP AI Core
- JFrog
- Aliyun
- PostgreSQL
- MySQL
- MSSQL
- Claude Code
- OpenAI Codex
- Gemini
- Anthropic
- Ollama
- OpenClaw
- Qwen Code
- +8 more
Not Diamond
Not documented yet.
MLflow or Not Diamond: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.