GLM vs. MPT

Overview

GLM is Z.ai's open-weight model family for reasoning, coding, agents, and long-horizon work. GLM-5.2 is the current generation with a one-million-token context window.

The GLM family began with bilingual pretrained models and evolved through the ChatGLM and GLM-4 generations. GLM-5 scaled the mixture-of-experts architecture to 744B total parameters with 40B active parameters. GLM-5.2, released in June 2026, adds a stable one-million-token context window, stronger long-horizon coding and agent performance, adjustable reasoning effort, and efficiency improvements for sparse attention. Its weights are available under the MIT license.

Initial release: 2022-08-04

Current generation: GLM-5.2

Reference

https://z.ai/blog/glm-5.2

Further Reading

• https://z.ai/blog/glm-5
• https://z.ai/blog/glm-5.2
• https://huggingface.co/zai-org

Overview

MPT-7B and MPT-30B are a set of models that are part of MosaicML's Foundation Series. Trained on 1T tokens, the developers state that MPT-7B matches the performance of LLaMA while also being open source, while MPT-30B outperforms the original GPT-3. In addition to the base model, the developers also offer MPT-Instruct, MPT-Chat, and MPT-7B-StoryWriter-65k+, the last of which is trained on a context length of 65K tokens.

Initial release: 2023-05-05

Reference

https://www.mosaicml.com/blog/mpt-30b

Further Reading

• https://www.mosaicml.com/blog/mpt-7b
• https://huggingface.co/mosaicml