Discover 2025's leading open models, including Kimi K2 and DeepSeek. Learn how these models are transforming AI applications and how you can start using them.

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Red Hat Developer

2025 saw significant growth in open source AI models, particularly from Chinese labs like DeepSeek, Qwen, and Moonshot AI's Kimi K2. These models now rival proprietary options like ChatGPT while offering cost control and on-premises deployment. The landscape includes model families of various sizes (from 0.5B to 1T parameters) for different use cases: Qwen for versatility, Kimi K2 for agentic workflows and coding, OpenAI's gpt-oss for tool calling, and small language models for edge devices. Enterprise adoption is growing in regulated sectors requiring data sovereignty. Tools like Ollama, RamaLama, and vLLM make deployment accessible, from local hardware to production Kubernetes environments.

The state of open source AI models in 2025

Leading to 2025: The pre-DeepSeek landscape

How to run these models on your own hardware