Codex Platform Expands Support to Include Kimi, Grok, and GLM Models
The Codex platform has expanded its model compatibility beyond OpenAI's GPT models. Users can now configure and utilize alternative large language models, including Kimi, Grok, and GLM. This update reduces dependency on a single model provider, allowing developers to leverage the unique strengths of various LLMs within the Codex ecosystem. It reflects a broader industry trend toward multi-model integration and flexibility in AI-assisted development. Once the initial configuration is completed, Codex is no longer restricted to GPT models, enabling seamless switching between different AI providers. This allows integration with specialized models like Moonshot AI's Kimi or xAI's Grok.
## BACKGROUND
Large language models (LLMs) like GPT, GLM, and Grok are based on transformer architectures and trained on massive datasets to generate text and code. Kimi, developed by Moonshot AI, is known for its long-context capabilities, while GLM is an open-weight model series, and Grok is developed by xAI. Tools like Codex integrate these models to assist developers in writing code and automating workflows.