モデル詳細
gpt-5.2-codex
GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks. The model supports building projects from scratch, feature development, debugging, large-scale refactoring, and code review. Compared to GPT-5.1-Codex, 5.2-Codex is more steerable, adheres closely to developer instructions, and produces cleaner, higher-quality code outputs. Reasoning effort can be adjusted with the `reasoning.effort` parameter. Read the [docs here](https://openrouter.ai/docs/use-cases/reasoning-tokens#reasoning-effort-level) Codex integrates into developer environments including the CLI, IDE extensions, GitHub, and cloud tasks. It adapts reasoning effort dynamically—providing fast responses for small tasks while sustaining extended multi-hour runs for large projects. The model is trained to perform structured code reviews, catching critical flaws by reasoning over dependencies and validating behavior against tests. It also supports multimodal inputs such as images or screenshots for UI development and integrates tool use for search, dependency installation, and environment setup. Codex is intended specifically for agentic coding applications.
モデル仕様
- コンテキスト長
- 400K
- 最大出力
- 128K
- 入出力モダリティ
- テキスト / 画像
- リリース
- 2026-01
02
API エンドポイント
MixRoute 単一ゲートウェイ、OpenAI 互換
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OpenAI-compatible
/v1/chat/completionsPOST
03
料金
固定料金、単位: /1M Tokens
入力
$1.7500 /1M Tokens
生成
$14.0000 /1M Tokens
キャッシュ読み取り
$0.1750 /1M Tokens
05
選定サマリー
ワークロード適合性を素早く判断
What is this model good for?
Interactive and independent software engineering tasks
Use gpt-5.2-codex for project creation, feature work, debugging, refactoring, code review, and longer engineering runs.
What should you check before using it?
Set reasoning effort and validate the delivery loop
Choose an appropriate reasoning setting, then test code changes, dependency handling, tests, and review requirements on your own repository.
How should you start?
Start with a reviewable engineering task
Use model ID gpt-5.2-codex for a scoped task with version control and tests so the team can assess output before wider use.
08
トークンコスト見積もり
このページの料金に基づく見積もりで、実請求ではありません
同一プレフィックスが繰り返し読み取られる入力の割合(最大100%)
単一エンドポイントで検証可能な判断
同じリクエスト形式でこのモデルと代替ルートをテスト
実際のワークロードから始め、品質、総コスト、障害条件を基に本番トラフィックを送るか判断します。