The Business Value of an Open Source Strategy
GLM-4.5 is released under the MIT license, a licensing strategy that gives it a unique advantage in commercial applications. In contrast to closed-source models that require payment (e.g., GPT-4) and open-source models that restrict commercialization (e.g., Llama 2), GLM-4.5 allows enterprises to modify, distribute, and commercialize it free of charge with no mandatory open-source requirements. This creates business value in three ways: first, cost control, where enterprises can deploy locally to avoid API call costs; second, data security, where sensitive business data does not need to be uploaded to a third party; and finally, freedom of customization, which supports fine-tuning for verticals.
For the technical implementation, the model is supported by a complete tool chain: including HuggingFace compatible interface, vLLM optimization engine and Gradio demo system. Deployment scenarios cover from single card reasoning (GLMAir+RTX4090) to multi-computer distributed clusters. The existing case shows that after a cross-border e-commerce company adopts GLM-4.5 to build a multi-language customer service system, compared with the use of commercial APIs, the annual cost savings exceeds $2 million, and the response speed is increased by 3 times. This cost-effective features make it the preferred program for AI landing of small and medium-sized enterprises.
This answer comes from the articleGLM-4.5: Open Source Multimodal Large Model Supporting Intelligent Reasoning and Code GenerationThe
