OpenAI Codex 定價：CLI 在 2026 年的實際費用
OpenAI Codex CLI is a free, open-source tool — but it sends every prompt to the OpenAI API, which charges per token. One image compression task burned 7,675 tokens: between 3 and 11 cents. The default model, codex-mini-latest, costs $1.50 per million input tokens and $6.00 per million output tokens. Pointing Codex at RunAPI instead cuts those rates by 50%, with no other changes to your workflow.
OpenAI Codex 費用是多少？
The Codex CLI itself is free to download and run. The cost comes from API calls: every prompt, file read, and code generation goes to the OpenAI API. The default model is codex-mini-latest, priced at $1.50/1M input tokens and $6.00/1M output tokens through OpenAI directly. A moderate coding session — roughly 8M input and 2M output tokens per month — runs about $24 with OpenAI. The same usage through RunAPI costs $12. RunAPI is OpenAI-compatible, so you change two environment variables and nothing else. Tip: run /compact during long sessions to free up context and stop burning tokens on conversation history.
CLI 本身沒有訂閱費用。您只需為每次程式開發工作階段消耗的 API Token 付費。
codex-mini-latest 輸入費用為每百萬 Token $1.50，輸出費用為每百萬 Token $6.00（透過 OpenAI API）。
RunAPI 以五折優惠提供相同模型。設定兩個環境變數，Codex 就會自動路由到 RunAPI。
只為實際使用量付費。沒有每月座位費。沒有最低消費。停止程式開發時帳單立即停止。
什麼會被計算為 Token？
Every message Codex sends to the API includes your prompt, the full context of files it has read, any tool results, and conversation history. That combined input is tokenized (roughly 750 words per 1,000 tokens). The model's response — edited code, explanations, next steps — counts as output tokens. Both directions are billed separately. Codex caches nothing between sessions, so a fresh session re-reads the same files and bills that context again. One real example from a developer testing image compression — a single 5 MB file task burned 7,675 tokens, or roughly 3 to 11 cents. Not very cheap for one file, but most coding sessions stay well under a dollar each.
codex-mini-latest 定價：OpenAI vs RunAPI
價格以每百萬 Token 美元計算。RunAPI 費率為 OpenAI 定價的 50%。
一個月通常需要多少費用？
基於 codex-mini-latest，OpenAI 定價 $1.50/$6.00，RunAPI 定價 $0.75/$3.00（每百萬 Token）。
如何將 Codex CLI 與 RunAPI 搭配使用
安裝 Codex CLI
建立 RunAPI 帳戶
設定環境變數
運行 Codex
驗證模型
關於 Codex 定價的常見問題
OpenAI Codex CLI 是免費的嗎？
CLI 本身可免費下載和安裝，沒有訂閱費用。但是，Codex 發送的每個提示詞都會到達 OpenAI API（或 RunAPI），後者按 Token 收費。工具是免費的；API 呼叫則需收費。大多數開發者根據使用強度每月支付 $3 至 $30。
"Quota exceeded" — I'm already on a paid plan. Why?
Codex CLI works two ways: through a ChatGPT subscription (Plus at $20/month or Pro at $200/month) or through your own OpenAI API key with pay-per-token billing. The subscription path gives you a monthly quota — once exhausted, you see "quota exceeded" errors even on a paid plan. The API key path means you pay only for what you use, with no monthly floor. Heavy users often find the $200 Pro subscription impossible to exhaust; lighter users get better value from the pay-per-token API key path.
Which model effort level should I use to keep costs down?
Codex CLI includes three reasoning effort levels selectable with the /model command: medium, high, and extra high. Medium is the cheapest and recommended for daily use — it saves a lot of tokens and handles most tasks well. High and extra-high effort produce better results on complex tasks but burn more tokens quickly. ChatGPT Plus ($20) users should stick to medium; Pro ($200) subscribers can use high and extra-high without worrying about burning through quota.
How does RunAPI work with Codex CLI?
RunAPI is an OpenAI-compatible proxy. Codex reads the OPENAI_BASE_URL and OPENAI_API_KEY environment variables to find its API endpoint. Setting these to RunAPI values routes all Codex traffic through RunAPI instead of OpenAI. The request and response format is identical — Codex behaves the same, but you pay 50% less per token.
Do I need an OpenAI account to use Codex with RunAPI?
No. When you route Codex through RunAPI, your requests go to RunAPI's infrastructure, not OpenAI directly. You create a RunAPI account, generate an API key there, and set that key in your environment. No OpenAI account, no OpenAI API key, and no OpenAI billing are required.
Which models can I use with Codex CLI through RunAPI?
RunAPI supports codex-mini-latest as well as other LLMs including GPT-4o, Claude Sonnet, Gemini Pro, and more. You switch models with the --model flag or /model command in Codex. All RunAPI models are priced at 50% off the respective provider's list price.
Does redirecting Codex to RunAPI change how it behaves?
No. The only difference is which server processes the API request. Codex's file reading, code execution sandbox, approval modes, and MCP tool integrations all continue to work as normal. The request and response format RunAPI uses is identical to OpenAI's API, so Codex cannot tell the difference.
How do I stop burning so many tokens in a long Codex session?
Use the /compact command during long sessions — it summarizes the conversation to free up context and cuts the tokens you're burning on history. Also run /status to see your current token usage. For day-to-day work, stick to medium reasoning effort. For one-off tasks, use non-interactive mode (codex -q "your task") instead of an open session to avoid accumulating context.