LiteLLM records 576,967 monthly visits with +7.9% month-over-month growth and Freemium, Contact for Pricing pricing. Not Diamond records 29,244 monthly visits with +25.3% growth and Freemium, Paid, Contact for Pricing pricing.
One open-source AI gateway for 100+ LLM providers
Intelligent model routing for coding agents
| Dimension / Metric | | |
|---|---|---|
| Official Domain | litellm.ai | notdiamond.ai |
| Pricing Model | Freemium, Contact for Pricing | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 576.97K (576,967) | 29.24K (29,244) |
| MoM Traffic Delta | +42.48K (+7.9%) | +5.9K (+25.3%) |
| Primary Market & Share | 🇺🇸 United States (27.9%) | 🇦🇺 Australia (42%) |
| Direct Visits / mo | 228.97K | 12.47K |
| User Rating | 4.8 | 4.4 |
| Supported Platforms | Website | Website |
One open-source AI gateway for 100+ LLM providers
Call 100+ providers and 1,800+ models using one request format, so you can swap models without changing application code.
Issue scoped keys per team, project or app, set monthly spend caps and see exactly who is driving usage and cost.
Distribute traffic across deployments, retry on failure and automatically fall back to another model or provider when one goes down.
Dashboards for request volume, tokens and cost per model, with support for logging and analytics integrations.
Intelligent model routing for coding agents
Predicts the best model and reasoning effort for each step of a session by weighing prompt semantics, cache state, sub-agent structure and past session outcomes.
Works alongside the coding-agent harness and model gateway you already use, so recommendations execute inside your own stack without locking you into a single provider.
Can route using only derived request metadata and locally computed features, so Not Diamond never sees your payloads, inputs or outputs.
Reinforcement learning from feedback signals and session results personalizes recommendations per developer and transfers learnings across an organization.
Free / Open-sourceHigh-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
Free / Open-sourceHigh-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
SpecialistOne API key for hundreds of AI models from every major provider
Free / Open-sourceGoogle's family of lightweight, open-weight AI models
Free / Open-sourceGoogle's family of lightweight, open-weight AI models
SpecialistGoogle DeepMind's #1 frontier AI model (Gemini Carbon 4) for long-horizon agentic coding, cybersecurity defense, and 1M-token multimodal reasoning.
SpecialistGoogle DeepMind's #1 frontier AI model (Gemini Carbon 4) for long-horizon agentic coding, cybersecurity defense, and 1M-token multimodal reasoning.
SpecialistHosts high-performance open-weight models directly on dedicated serverless infrastructure, but does not route across external providers.
SpecialistHosts high-performance open-weight models directly on dedicated serverless infrastructure, but does not route across external providers.
One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control
One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control
SpecialistHigh-trust frontier inference, encrypted end to end
SpecialistHigh-trust frontier inference, encrypted end to end
Unified LLM gateway with failover and analytics, but offers less robust open-source developer SDK support.
Unified LLM gateway with failover and analytics, but offers less robust open-source developer SDK support.
Fast Apply and agent-tuned inference for coding agents
Fast Apply and agent-tuned inference for coding agents
SpecialistOne API for fast, cost-predictable inference on LLMs and multimodal models
SpecialistOne API for fast, cost-predictable inference on LLMs and multimodal models
SpecialistOne OpenAI-compatible key for discounted GPT, Claude and Gemini access
Offers advanced enterprise observability and guardrail tools, but lacks LiteLLM's lightweight self-hosted proxy simplicity.
Offers advanced enterprise observability and guardrail tools, but lacks LiteLLM's lightweight self-hosted proxy simplicity.
