AllocateWhat are open-weight models?
Open-weight models publish their trained parameters so anyone can run, inspect, and fine-tune them under the model’s license. Unlike closed API models, an open-weight model can live inside your own boundary, be trained on your data, and be owned outright: no vendor can deprecate it or raise its price.
Leading open-weight families in 2026 include Llama, Qwen, GLM, Kimi, and DeepSeek’s open releases, several within striking distance of frontier closed models on production tasks, and far cheaper to serve.
Licenses matter: MIT and Apache 2.0 are permissive; some community licenses carry conditions. Every model page on Allocate lists its license and whether it is fine-tunable.
Browse open-weight modelsRelated terms
Allocate is the cloud inference platform for companies that want to train and run their own models.