OpenAI 正在测试“Luna Reserve”，这是一个 Codex 回退层级
该未记录的功能在高级模型访问受限后，为部分 Plus 和 Pro 用户提供了一个单独的配额。RuntimeWire 在 OpenAI 的 Windows 客户端内部追踪了其模型切换和用量计量逻辑。
By Ryan Merket · Published · Updated
RUNTIMEWIRE INVESTIGATION — Scoop
Original reporting by RuntimeWire, based on reverse engineering.
为何重要
Reserve 将使 OpenAI 能够用更便宜的回退方案取代 Codex 的硬性使用限制，保持开发者活跃，同时将高级容量转化为即时的追加销售。
Reporting record
Finding
Codex contains a feature-gated “Luna Reserve” allowance that appears to switch eligible Plus and Pro users to a Luna-class reserve model after advanced-model limits are reached.
How we verified
Methods: reverse engineering.
Static analysis of the production-distributed Codex app.asar identified the model identifier gpt-reserve, feature gate reserve_enabled, luna_reserve banner logic, dedicated lifecycle analytics, eligibility checks for Plus/Pro accounts, and user-facing text describing a separate “Luna Reserve” allowance. The code preserves the user’s original model selection and restores it when Reserve ends.
Calculated the archive’s SHA-256 hash, parsed its ASAR index, and extracted the Electron main-process and renderer bundles. Searched the bundles for feature definitions, model identifiers, rate-limit handling, eligibility conditions, analytics events, and user-facing strings. Traced Luna Reserve from its server-controlled feature gate through account eligibility, rate-limit activation, model switching, UI presentation, and restoration of the original model. Compared findings against current official OpenAI documentation. No server interaction or feature-flag bypass was attempted.
Tested versions:
- Windows package 26.818.5229.0
- embedded Codex app 26.818.41509
- build 6962 (prod)
Reproduction
RuntimeWire independently reproduced the core finding.
Obtain the specified Microsoft Store build of Codex and hash app/resources/app.asar. Parse the ASAR and inspect the renderer bundle for gpt-reserve, reserve_enabled, luna_reserve, and CodexLunaReserveLifecycle. Confirm the surrounding code includes Plus/Pro eligibility checks, a separate gpt-reserve rate limit, model switching, and the user-facing string “Luna Reserve · {remaining}% remaining.” Live UI reproduction additionally requires server-side eligibility and rate-limit state.
File hashes
C5D839BC9B122B7EF2A2F0F45186B3E5895923DE5B6CEF5253C936FE670C0479
Company response
RuntimeWire requested comment; the company had not responded by publication time.
OpenAI 已开始为 Codex 推出一个未记录的备用等级，当订阅者的常规高级模型配额耗尽时，该备用等级可以让他们继续工作。
该功能名为 Luna Reserve。它携带内部模型标识符 gpt-reserve，维护自己的使用配额，并旨在在临时替换用户所选模型的同时保留以后切回所需的设置。
多张发布到 X 并由 RuntimeWire 审核的图片显示该功能在用户账户中出现。一张图显示 GPT-Reserve 出现在 Codex 的模型选择器中，位于 GPT-5.6 Luna 之下，并带有与其相同的可见描述 “Fast and affordable agentic coding...”。其他图片显示 gpt-reserve 与账户的普通每周限额并列计量。
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