Choose the Codex service you need

Fast

Copy config from the dashboard and start testing; server response is fast and network connectivity is stable.

Reliable

Fixed service-side proxy and high-reputation egress reduce network interruptions and make long tasks and frequent requests steadier.

Controlled

Pay / Boost use prepaid balance with 30-day validity that can be extended by a new top-up; the backend records model and token fields.

Clear

The dashboard shows service status, purchase records, balance, and key token fields for testing and troubleshooting.

Real

Focused on official Codex client access, with no hidden model substitution and no dependency on reverse-engineered Cursor, Kiro, or Copilot interfaces.

Models

Current models include gpt-5.6-sol, gpt-5.6-terra, gpt-5.6-luna, gpt-5.3-codex-spark, gpt-5.4-mini, gpt-5.4, and gpt-5.5. See What's New for full pricing and release updates, and keep older clients updated.

Privacy

When you choose a Google Gemini model through Pay, your request content is sent to Google Vertex AI for inference.

Normally, PhotonMark does not record or store project materials, prompts, or outputs you process through Codex, and we do not use that content for model training, general analysis, or secondary processing. We retain only the account, purchase, authorization, and request metadata required to operate the service, plus model, token, and tool-call statistics required for billing.

Exception: when a Pay or Boost request actually uses PhotonMark managed quota, the complete user-message history visible in the current task request, together with image-generation or image-edit prompt text, may be submitted to automated safety screening before the model request is sent. Image pixels and tool outputs are not screened by the current gate. A blocking safety result permanently stops only that task; start a new task or fork from before the blocked request to continue. Safety-screening input is transient: the local safety-event log stores metadata and byte counts, not prompt or transcript content, and screened content is not used for model training. Managed Realtime is unavailable because its live media cannot be pre-screened by this gate. See the full privacy policy.

Compliance

We provide stable proxy access and prepaid quota management. We do not promise to bypass OpenAI risk controls; users must follow OpenAI terms and applicable law.