BaseModel is an open-source AI model intelligence platform. It continuously discovers, validates, normalizes, stores, and publishes structured knowledge about AI models.
BaseModel is not an AI provider, inference runtime, chatbot, coding assistant, or user-facing application.
Its role is to provide a trusted data layer that other tools can consume when they need to compare or integrate AI models.
The AI ecosystem changes quickly.
- Providers release new models frequently.
- APIs and capabilities are described inconsistently.
- Pricing changes often.
- Benchmark results are scattered across many sources.
- Public documentation becomes stale quickly.
Developers spend too much time comparing sources manually before they can make a reliable model choice.
BaseModel collects information from trusted sources and turns it into a single structured intelligence layer.
Instead of searching across many sites, consumers can read normalized datasets from one place.
BaseModel does not replace AI providers. It makes them easier to discover, compare, evaluate, and integrate.
Included:
- Provider registry
- Model registry
- Capability registry
- Benchmark records
- Pricing records
- API compatibility records
- Static JSON datasets
- Public documentation
Not included:
- Model inference
- GPU execution
- Chat interfaces
- Prompt management
- Model hosting
- Runtime orchestration
- AI agent execution
- AI runtime developers
- AI agent frameworks
- IDE extensions
- Developer tools
- Research tooling
- Analytics platforms
- Open-source applications
BaseModel is successful when consumers can answer questions such as:
- Which models support tool calling?
- Which models support image input?
- Which providers expose OpenAI-compatible APIs?
- Which model has the largest context window?
- Which models are free or low-cost?
- Which alternatives are comparable to a given model?
without manually checking dozens of sites.