OpenAI Codex 가격: 2026년 CLI 실제 비용
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 비용은 얼마인가요?
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 자체에는 구독료가 없습니다. 각 코딩 세션 중 소비된 API 토큰에 대해서만 지불합니다.
codex-mini-latest 입력은 OpenAI API를 통해 $1.50/1M 토큰, 출력은 $6.00/1M 토큰입니다.
RunAPI는 동일한 모델을 50% 할인된 가격으로 제공합니다. 환경 변수 두 개를 설정하면 Codex가 자동으로 RunAPI를 통해 라우팅됩니다.
사용한 만큼만 지불합니다. 월정액 없음. 최소 지출 없음. 코딩을 멈추는 순간 청구도 멈춥니다.
토큰으로 계산되는 항목은 무엇인가요?
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 가격: OpenAI vs RunAPI
가격은 100만 토큰당 USD 기준입니다. RunAPI 요금은 OpenAI 정가의 50%입니다.
일반적인 한 달 비용은 얼마인가요?
codex-mini-latest 기준, OpenAI $1.50/$6.00, RunAPI $0.75/$3.00(100만 토큰당).
RunAPI와 함께 Codex CLI를 사용하는 방법
Codex CLI 설치
RunAPI 계정 만들기
환경 변수 설정
Codex 실행
모델 확인
Codex 가격에 관한 자주 묻는 질문
OpenAI Codex CLI는 무료로 사용할 수 있나요?
CLI 자체는 무료로 다운로드하고 설치할 수 있습니다. 구독료는 없습니다. 그러나 Codex가 보내는 모든 프롬프트는 OpenAI API(또는 RunAPI)에 도달하며, 토큰당 요금이 부과됩니다. 도구 자체는 무료이지만 API 호출은 유료입니다. 대부분의 개발자는 사용 강도에 따라 월 $3~$30 정도를 지출합니다.
"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.