AI Model Database
Search and compare 40+ AI models. Filter by type, provider, parameters, and open-source status.
| Name | Provider | Type | Parameters | Context | Release | Open Source | API |
|---|
How the AI Model Database Works
The gpt0x.com AI model database is a searchable reference for comparing large language models, image generators, audio models, and multimodal AI systems. The database includes 40+ models from providers like OpenAI, Anthropic, Google, Meta, Mistral, Cohere, Databricks, and others. Each model entry includes parameter count, context window size, release date, open-source status, API availability, and a detailed specifications card.
The interface is designed for speed. Type a model name in the search box to filter instantly. Use the dropdown filters to narrow by type (text, image, audio, multimodal), provider, or open-source status. Click any column header to sort the table by that field. Click on a model row to open a detailed card with full specifications. Everything runs client-side in your browser — the model data is bundled into the page and filtered with JavaScript, so there is no server round-trip and no latency.
The AI landscape changes fast. New models launch monthly from competing providers, each with different strengths, pricing structures, and licensing terms. Keeping track of which model has the largest context window, which providers offer API access, and which models are open-source is a genuine challenge. Gpt0x.com is the quick-reference you check before choosing a model for your project, whether you are evaluating options for a production deployment or just staying current on the latest releases.
Features
The AI model database includes instant search across all model names and providers, filtering by model type and provider, sortable columns for every specification, detailed model cards accessible with a single click, open-source vs closed-source filtering, and a clean responsive table that works on desktop and mobile. If you are exploring the machine learning fundamentals behind these models, the ML cheat sheet generator covers the core algorithms and formulas. For developers building LLM-powered applications, KickLLM provides practical resources for prompt engineering and integration.
Who Uses This
The AI model database is used by engineering teams evaluating which model to integrate into their products, CTOs making build-vs-buy decisions on AI infrastructure, researchers tracking the competitive landscape, students learning about different model architectures, and developers who want a quick comparison before committing to an API provider. Whether you need to know the context window of Claude 3.5 Sonnet, the parameter count of Llama 3.1 405B, or which image models support API access, the database gives you the answer in seconds.
Privacy
Everything on gpt0x.com runs locally in your browser. No data is sent to any server, no analytics tracking is used, and no account is required. The source code is open on GitHub. Your searches and filters are not logged or stored anywhere.
Frequently Asked Questions
How many AI models are in the gpt0x.com database?
The gpt0x.com database includes 40+ AI models from major providers including OpenAI, Anthropic, Google, Meta, Mistral, Cohere, Databricks, and others. The database covers text, image, audio, and multimodal models.
Can I compare GPT-4 and Claude side by side?
Yes, the AI model database lets you compare any models by sorting and filtering the table. You can see parameter counts, context window sizes, release dates, open-source status, and API availability for GPT-4, Claude, Gemini, and every other model in the database.
What information is available for each AI model?
Each model entry includes the model name, provider, type (text, image, audio, multimodal), parameter count, context window size, release date, open-source status, and API availability. Click on any model row for a detailed card with full specifications.
Is the AI model database free to use?
Yes, gpt0x.com is completely free. No sign-up, no paywall, no usage limits. The database runs entirely in your browser with no data sent to any server.
How do I find open-source AI models?
Use the Open Source filter dropdown to show only open-source models. The database includes models like Llama 3.1, Mixtral, Qwen2, Falcon, and others with their full specifications and license information.
Which AI model has the largest context window?
You can find this by sorting the database by the Context column. As of the latest update, Google's Gemini 1.5 Pro leads with a 2M token context window, followed by Claude 3.5 at 200K tokens. Sort the table to see the full ranking.
How often is the AI model database updated?
The database is updated regularly as new models are announced. New entries are added for major model releases from providers like OpenAI, Anthropic, Google, Meta, and Mistral. Check back frequently for the latest additions.