Every AI request has a different best model.Inferbase finds it automatically.
- One OpenAI-compatible API
- Switch models without rewriting code
- Reduce inference costs by up to 70%
Works with every major model provider.
Every request is
evaluated independently.
The cheapest model isn't always the right one. The smartest model isn't always necessary. Inferbase finds the best option for every request in milliseconds.
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- requestmodel = "auto"any OpenAI-compatible client
- analyzeTask + complexityread from the prompt itself
- filter64 → 38 modelsavailable, capable, context fits
- scoreQuality · cost · latencyevidence per task family
- serveOne model streamsdecision disclosed inline
Every routing decision
is explainable.
Know exactly why each request went to the model it did, before the first token arrives, and pull any past decision from the audit trail afterward.
Trust matters.
taskWhat kind of work the prompt is: code, analysis, extraction, chat.
complexityHow demanding this specific prompt is, measured from the text itself.
decisivenessHow clear-cut the winning model was over the runner-up.
modelThe exact model, variant, and provider that served the request.
Most AI applications
waste inference spend.
Static model selection leaves money on the table. Inferbase continuously routes requests to the most efficient model without sacrificing quality.
Run a routing previewMatched or improved on every benchmarked task family.
Figures shown are an example. Your savings depend on your own prompts and volume.
Everything needed to
run production AI.
The routing layer, plus the operations you need around it.
Intelligent Routing
Optimize every request automatically.
Instant Failover
Stay online when providers don't.
Unified API
One endpoint. Every model.
Cost Intelligence
Track exactly where every token goes.
Traffic Analytics
Understand how your applications actually use AI.
Continuous Optimization
Your routing improves as new models become available.
Why Inferbase
More than another AI gateway.
Optimize
Lower costs automatically.
Observe
Understand every request.
Adapt
New models. New pricing. New providers. Without rewrites.
Scale
From prototypes to billions of tokens.
How Inferbase compares
Routing brains tell you which model; aggregators resell routing; frameworks make you host it. Inferbase routes and serves, end to end.
| Inferbase | OpenRouter | LiteLLM | Portkey | NotDiamond | RouteLLM | |
|---|---|---|---|---|---|---|
| Picks the best model per request | First-party | Via NotDiamond add-on | Beta tiers you map by hand | No, rules you define | Yes | Strong vs weak only |
| Routes and serves in one API | Yes | Yes | Proxies via your providers | Proxies via your providers | No, you run it | No, self-hosted |
| Per-request decision audit | Yes | No | Logs and cost tracking | Deep logs and traces | Recommend-side | Build your own |
| Nothing to self-host or calibrate | Yes | Yes | No | Hosted, rules are yours | Yes | No |
| Model breadth | Curated catalog, plus your own models | Hundreds of models | 100+ providers, your keys | 1,600+ models, your keys | Your chosen pool | Two models |
A unified API where routing is a NotDiamond-powered add-on.
Read the comparisonRecommends a model per prompt; you run the inference.
Read the comparisonA self-hosted, strong-vs-weak router you operate.
Read the comparisonFrom the blog.
Benchmarks, cost analysis, and the thinking behind how we build.
LLM Gateway vs LLM Router: What Each Layer Actually Decides
LLM gateways and LLM routers sit in the same place in the stack but decide different things. How to tell them apart, and which one your workload needs.
Model Routing for Agentic RAG: A Practical Guide
Agentic RAG puts the model in the loop before and after retrieval. Where routing fits per call, when the loop must pin, and how to wire embeddings on the same API.
Model Routing for Coding Agents: A Practical Guide
Where a routing layer fits in a coding agent: pin the tool-calling loop to a model you trust, auto-route the auxiliary calls, and audit every step of the loop.
Your AI stack shouldn't stand still.
Every month new models become cheaper, faster, and more capable. Inferbase ensures your application automatically benefits without changing a single API call.