Open-Source LLMs
Whether you can download the weights decides who controls the model: you can fine-tune it, run it on your own GPUs and keep it offline — in exchange for running inference, upgrades and incident response yourself.
Whether you can download the weights decides who controls the model: you can fine-tune it, run it on your own GPUs and keep it offline — in exchange for running inference, upgrades and incident response yourself.
On September 22, 2026, Xiaomi simultaneously announced the MiMo-V2.6 series through its official MiMo X account and WeChat public account, including t...
On September 14, 2026, SiliconFlow announced through its official account that Hy4 preview had launched on its platform. This model was developed by T...
On September 14, 2026, AI inference platform Fireworks AI released a review of DeepSeek V4.1 Flash. In its DeepSWE code tasks, the model scored a maxi...
On September 8, 2026, Mistral announced on its official website the completion of a €3 billion Series D financing round, with a post-investment valuat...
On August 31, 2026, DeepSeek launched DeepSeek-V4-Flash-Vision-Exp open weights on the official Hugging Face organization deepseek-ai. The model repos...
The choice between open source and closed source models is a problem that many teams cannot avoid when working on AI projects. On the surface, one is ...
1. Abstract MiniMax M2.1 is an open source rights model released by MiniMax, focusing on the "real software development + agent" scenario, focusing on...
Qwen3-Omni combines multimodal AI with end-to-end reasoning: a single model unifies the input and output of text, images, audio, and video, balancing ...