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An open-weight model is an AI model whose trained weights are published, so anyone can download it and run it on their own hardware or through any hosting provider.

Closed models, like most GPT, Claude and Gemini versions, are only available through their maker’s API. Open-weight models publish the trained parameters, usually under a licence that sets terms for commercial use.

Families include Llama, Mistral, Qwen, DeepSeek and Gemma. You can run them locally, on a rented GPU server, or through hosts such as OpenRouter and Groq that often price them well below closed models.

"Open weight" is not always "open source": the training data and code may stay private, and licences vary. Check the licence before using a model in a paid product.

Open-weight model in Aikeedo

Aikeedo can use open-weight models through Ollama on your own server or through hosted providers such as OpenRouter, alongside closed models from OpenAI, Anthropic and Google.

Related terms

Discover more terms connected to this one

Local LLM

A local LLM is a language model that runs on hardware you control, such as your own server or computer, instead of being called through a cloud provider’s API.

Read the guide

LLM (Large Language Model)

An LLM (large language model) is an AI model trained on very large amounts of text to predict the next token, which lets it write, summarise, translate, reason and hold a conversation.

Read the guide

Fine-tuning

Fine-tuning is further training an existing model on your own examples so it learns a style, format or narrow task; for adding knowledge, RAG is usually cheaper and easier to update.

See in the glossary

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