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OpenCodex enables multi-model selection within OpenAI Codex

A new tool called OpenCodex has been developed to allow users to integrate multiple large language models within the OpenAI Codex environment. This setup enables developers to select the most suitable model for specific coding tasks, rather than being limited to a single model. The tool acts as a proxy, translating Codex's API traffic to Chat Completions and routing it to various models such as Claude Opus 4.8, Grok 4.5, and Kimi K3, among others. This flexibility aims to optimize performance and cost by matching tasks with the best-suited, and potentially fastest or cheapest, available model. AI

IMPACT Enhances developer flexibility by allowing task-specific model selection within a familiar coding environment.

RANK_REASON The item describes a new tool that integrates existing models, rather than a novel model release or core research.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

OpenCodex enables multi-model selection within OpenAI Codex

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  1. dev.to — LLM tag TIER_1 English(EN) · xiaohan lin (Ethan lin) ·

    "How to Use OpenAI Codex with Any Model: Claude Opus 4.8, Grok 4.5, Kimi K3, GLM-5.2"

    <h2> canonical_url: <a href="https://glideflowai.com/blog/use-any-model-in-openai-codex-opencodex" rel="noopener noreferrer">https://glideflowai.com/blog/use-any-model-in-openai-codex-opencodex</a> </h2> <p>Most coding agents ask you to pick one model and live with it. That made …