
Codex CLI 是免费、开源(Apache 2.0)的编码智能体,默认调用的 OpenAI 模型才需要付费。只要在用户目录下的 ~/.codex/config.toml 中配置一个指向免费 OpenAI 兼容端点的自定义供应商,就能以每月 0 美元运行 Codex CLI。
关键陷阱是 wire_api:绝大多数第三方端点(OpenRouter、OmniRoute、Groq 等)实现的是 Chat Completions 接口,必须把 wire_api = "chat" 写对;若只改 base_url 而不定义供应商块并设置线协议,Codex 会直接失败(OpenAI 自家的 Responses API 才是默认)。
推荐方案:新手先用 OpenRouter 直连,2 分钟搞定,提供 28+ 免费编码模型,免费档每天 50 次请求足够试流程;需要长会话再升级到 OmniRoute——它聚合 268+ 供应商、11 家永久免费,且具备四层自动回退(订阅→API→便宜→免费),几乎不会撞到限流,内置 token 压缩还能把免费额度放大数倍。Kiro 供应商提供不限量的 Claude 访问,Qwen、Pollinations、Cloudflare Workers AI 等也在免费之列。
验证兼容性建议每月复查一次,因为免费档会变动。结论:你不需要 ChatGPT 订阅也能把 Codex CLI 当作正经编码智能体使用——软件免费、模型免费,唯一的投入是约 10 分钟的配置时间。
本文来源:https://dev.to/shaam_ai/how-to-run-openai-codex-cli-with-free-ai-models-in-2026-no-subscription-required-3jc
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Codex CLI is a free, open-source (Apache 2.0) coding agent; it is only the default OpenAI models it calls that cost money. By configuring a custom provider pointing at a free OpenAI-compatible endpoint in ~/.codex/config.toml in your home directory, you can run Codex CLI for 0 dollars a month.
The key trap is wire_api: the vast majority of third-party endpoints (OpenRouter, OmniRoute, Groq and others) implement the Chat Completions interface, so you must set wire_api = "chat" correctly; if you only change base_url without defining a provider block and setting the wire protocol, Codex will simply fail (OpenAI's own Responses
Recommendation: beginners should start with OpenRouter direct, done in 2 minutes, offering 28+ free coding models, and the free tier's 50 requests a day is enough to try the workflow; upgrade to OmniRoute when you need long sessions — it aggregates 268+ providers, 11 of them permanently free, and has four-layer automatic fallback (subscription → API → cheap → free), so you will rarely hit rate limits, and its built-in token compression can multiply the free quota several times over. Kir
For verifying compatibility, check monthly, because the free tiers change. Conclusion: you do not need a ChatGPT subscription to use Codex CLI as a serious coding agent — the software is free, the models are free, and the only investment is about 10 minutes of setup.
