AI models and model families
Explore major AI model families and provider ecosystems without mixing model infrastructure with end-user AI tools.
AiFolder treats a model as the intelligence layer, not the product around it. Use this page to navigate model families and then connect them to tools, workflows, prompts, and integrations.
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AI models and model families
6 entries
OpenAI models
General-purpose and multimodal model families exposed through OpenAI products and APIs.
Official model docs
Anthropic Claude
Claude model families used across conversational, coding, research, and agent workflows.
Official docs
Google Gemini
Google's multimodal model family across consumer, developer, and cloud AI experiences.
Official developer docs
Meta Llama
Open-weight model families from Meta used in local, hosted, research, and application workflows.
Official site
Mistral models
Model families from Mistral AI spanning general-purpose and developer-oriented AI workloads.
Official docs
Cohere models
Enterprise-focused language and embedding model families for retrieval, generation, and agent workflows.
Official docs
AI models and model families FAQ
What is the difference between an AI model and an AI tool?+
A model is the intelligence layer that generates or interprets content. An AI tool is the product experience around one or more models, with interface, workflow, storage, permissions, integrations, and product-specific behavior.
Does AiFolder rank models from best to worst?+
No. Model fit depends on the task, latency, cost, deployment requirements, modality, context, safety requirements, and product integration. AiFolder organizes model families for discovery rather than publishing a universal winner.
Why link to official model documentation?+
Model names, availability, limits, and capabilities change quickly. Official documentation is the right source for current provider-specific technical details.