Side-by-side

Not Diamond vs LiteLLM

Not DiamondLiteLLM

Bottom line: Not Diamond for teams running multiple LLMs in production; LiteLLM for engineering teams juggling multiple LLM providers.

	Not Diamond Intelligent LLM router that picks the best model per query Visit	LiteLLM Open-source AI gateway to call 100+ LLM APIs in one format Visit
Votes	0	0
Pricing	Freemium	Freemium
Category	Coding	Coding
Tags	llm-routermodel-routingcost-optimizationai-infrastructurellmops	llm-gatewayopen-sourceapi-proxymodel-routingllmops
Best for	Teams running multiple LLMs in production Builders of coding and AI agents Cost-sensitive LLM applications	Engineering teams juggling multiple LLM providers Platform teams building an internal AI gateway Startups wanting free multi-model routing
Pros	Directly targets cost savings without quality loss Supports custom routers trained on your own data Low added router latency (cited ~100-150ms) Free early-access tier to evaluate Works with major providers and coding agents	Free, actively maintained open-source core with a large community Supports 100+ providers through one OpenAI-compatible interface Built-in cost tracking, budgets, and virtual keys Load balancing, retries, and fallbacks for reliability Can be fully self-hosted for data control
Cons	Routing benefits depend heavily on your specific workload Exact per-token pricing is not fully published Vendor-cited savings figures need independent validation Adds an external dependency and network hop Crowded, fast-moving competitive category	Self-hosting means you own deployment, scaling, and maintenance Advanced governance (SSO, RBAC, audit logs) requires the paid Enterprise tier Enterprise pricing is negotiated and not fully transparent Acting as a proxy adds an operational hop to debug when issues arise Feature breadth can make initial configuration complex

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