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ModelVault
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About ModelVault
ModelVault provides a searchable directory of over 11,000 AI models including cloud APIs and open-weight local models. It indexes frontier models from providers such as OpenAI, Anthropic, Google, and Meta alongside self-hostable open-source alternatives. Users can filter models by modality, context window size, VRAM requirements, pricing, and other technical specifications. The platform includes benchmark data, hardware estimates, and cost calculators to assist in model selection. It supports text, chat, reasoning, coding, image generation, video generation, audio, speech, and vision-language tasks. ModelVault also offers tools like a smart model finder and VRAM hardware estimator to streamline deployment decisions.
Key features
- Searchable directory of 11,000+ cloud and local models
- Benchmark metrics and performance comparisons
- VRAM and token cost estimation tools
- Smart model finder for role-specific recommendations
- Hardware compatibility and context window filters
- Support for multiple modalities (text, image, video, audio)
- REST API and SDK integrations for cloud endpoints
- Open-weight model indexing for self-hosting
Use cases
- Selecting the best AI model for a specific task or workload
- Comparing cloud API costs and performance before deployment
- Evaluating hardware requirements for local model deployment
Pros
- Aggregates 11,000+ models from multiple providers in one place
- Provides benchmark metrics and hardware requirements for each model
- Includes cost and VRAM estimation tools for deployment planning
- Supports both cloud APIs and local self-hosted models
- Offers a smart model finder for quick recommendations
Cons
- No explicit support for mobile or non-desktop platforms
- Limited information on enterprise-grade security features
- No clear pricing transparency for the service itself
Frequently asked questions about ModelVault
What is ModelVault?
ModelVault is an open AI model directory and benchmark matrix that indexes over 11,000 cloud APIs and open-weight local models. It provides tools to discover, compare, and benchmark models across modalities such as text, chat, reasoning, coding, image generation, video generation, audio, speech, and vision-language tasks.
Who is ModelVault designed for?
The platform is designed for developers, researchers, and enterprises who need to evaluate, select, and deploy AI models efficiently. It supports both cloud-based and self-hostable open-source alternatives, catering to users with varying technical and budgetary requirements.
How does ModelVault help with model selection?
ModelVault offers a searchable directory with filters for modality, context window size, VRAM requirements, pricing, and other technical specifications. It includes benchmark data, hardware estimates, and tools like a smart model finder and VRAM hardware estimator to assist in making informed deployment decisions.
Does ModelVault support local model deployment?
Yes, ModelVault indexes self-hostable open-weight models compatible with platforms like Ollama, allowing users to run models locally on their own hardware. It also provides hardware estimates and cost calculators to guide local deployment decisions.
What integrations or tools does ModelVault provide?
The platform includes tools such as an AI cost calculator, VRAM hardware estimator, GPU token counter, and a smart model finder. It also offers a playground for testing models and telemetry features for monitoring performance.
How can I get started with ModelVault?
Users can start by visiting the ModelVault website to browse the directory, use the smart model finder to filter options, or explore curated recommendations for specific use cases like coding or reasoning. The platform provides standardized metadata and benchmark transparency to guide initial setup.
