A provider-agnostic platform for comparing AI models, estimating costs, and planning infrastructure — built by engineers, for engineers.
The AI landscape moves fast. New models ship weekly, pricing changes without warning, and capability claims are scattered across dozens of provider sites with no standard format.
We built inferbase.ai because we needed it ourselves — a single place to compare models on specs, pricing, benchmarks, and hardware requirements without opening 15 browser tabs. No vendor bias, no marketing spin, just structured data you can act on.
Inferbase is your base for inference. The foundation for evaluating AI models, costs, and infrastructure in one place.
AI decisions involve many moving parts, and teams often struggle to bring them together. Our goal is to provide a single place where those decisions can be evaluated clearly and systematically.
We don't promote any provider. Every model is evaluated using the same criteria — pricing, performance, and deployment requirements.
Pricing is normalized to USD per million tokens. Benchmarks are grouped by category. Capabilities are standardized across providers.
Most tools stop at model comparison. We also cover cost estimation, GPU sizing, and infrastructure planning — the full decision chain.
Every data point links back to its source, and our methodology is public. If something is incorrect, you can report it and we'll fix it.
Automated pipelines plus manual verification. If we can't verify it, we don't show it.
Our methodology, data sources, and limitations are public. We'd rather be honest about gaps than hide them.
We design for engineers and technical decision-makers, not marketing presentations.
We release features fast, listen to feedback, and improve continuously.
We take data accuracy seriously. Our platform combines multiple data sources to ensure you always have the most current information:
Explore the model catalog, run a comparison, or estimate infrastructure costs — no account required.