LiteLLM vs Not Diamond
No clear leader: Not Diamond (62.1) and LiteLLM (57.6) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
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.
LiteLLM
An open-source AI gateway that abstracts access to over 140 language model providers behind a single OpenAI-compatible API, enabling teams to implement spend tracking, request routing, and governance controls without changing application code.
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.
LiteLLM
Free open-source self-hosted tier; Enterprise priced to scale
- Open SourceFree
- 100+ LLM providers, one OpenAI API
- Virtual keys, users & teams
- Spend tracking
- Budgets + rate limits
- LLM fallbacks
- +3 more
- EnterpriseContact sales
- Everything in Open Source, plus:
- SSO + SCIM
- OIDC / JWT auth
- Audit logs
- Secret managers + key rotation
- +5 more
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.
LiteLLM
- OpenAI
- Anthropic
- Azure
- AWS Bedrock
- Cloudflare
- Google VertexAI
- Meta Llama
- Mistral AI
- NLP Cloud
- OVHCloud
- vLLM
- Nvidia NIM
- Slack
- Discord
- Microsoft Teams
- PagerDuty
- Prometheus
- AWS Secrets Manager
- Google Cloud Secret Manager
- MCP servers
- Gemini
- Bedrock
- VertexAI
- Langfuse
- +12 more
Not Diamond
Not documented yet.
LiteLLM 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.