モデル詳細
gpt-5.3-codex
GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results on SWE-Bench Pro and strong performance on Terminal-Bench 2.0 and OSWorld-Verified, reflecting improved multi-language coding, terminal proficiency, and real-world computer-use skills. The model is optimized for long-running, tool-using workflows and supports interactive steering during execution, making it suitable for complex development tasks, debugging, deployment, and iterative product work. Beyond coding, GPT-5.3-Codex performs strongly on structured knowledge-work benchmarks such as GDPval, supporting tasks like document drafting, spreadsheet analysis, slide creation, and operational research across domains. It is trained with enhanced cybersecurity awareness, including vulnerability identification capabilities, and deployed with additional safeguards for high-risk use cases. Compared to prior Codex models, it is more token-efficient and approximately 25% faster, targeting professional end-to-end workflows that span reasoning, execution, and computer interaction.
モデル仕様
- コンテキスト長
- 200K
- 最大出力
- 100K
- 入出力モダリティ
- テキスト
- リリース
- 2026-02
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
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?
Long-running agentic software engineering and computer-use work
Use gpt-5.3-codex for complex development, debugging, deployment, terminal-oriented workflows, and iterative work that uses tools.
What should you check before using it?
Evaluate tool control and completion quality end to end
Test instruction adherence, tool permissions, code review quality, test execution, and human oversight on a representative engineering task.
How should you start?
Pilot with one bounded repository workflow
Call model ID gpt-5.3-codex in a sandboxed development workflow before allowing it to act on broader engineering tasks.
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
このモデルにはキャッシュ読み取り価格がないため、キャッシュ料金は計算されません
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。