模型詳情
gpt-5.1-codex
GPT-5.1-Codex is a specialized version of GPT-5.1 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 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.
模型規格
- 上下文長度
- 400K
- 最大輸出
- 128K
- 輸入/輸出模態
- 文字 / 圖片
- 發布日期
- 2025-11
02
API 端點
單一 MixRoute 閘道,OpenAI 相容
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OpenAI-compatible
/v1/chat/completionsPOST
03
價格
固定費率,單位:/1M Tokens
輸入
$1.2500 /1M Tokens
補全
$10.0000 /1M Tokens
05
選型摘要
快速判斷是否適合你的工作負載
What is this model good for?
Steerable coding, refactoring, and code review
Use gpt-5.1-codex for interactive development and independent engineering tasks that need strong adherence to developer instructions.
What should you check before using it?
Validate repository safety and review behavior
Test planned changes, test execution, dependency updates, image or screenshot inputs, and review quality in a controlled repository.
How should you start?
Run a scoped coding task with gpt-5.1-codex
Use model ID gpt-5.1-codex with version control and explicit acceptance tests before expanding to autonomous workflows.
08
Token 成本估算
基於本頁價格的即時估算,非實際帳單
此模型沒有快取讀取價格,不計算快取費用
單一端點,可驗證的決策
使用相同的請求格式測試此模型與替代路由
從真實工作負載開始,再由品質、總成本與故障條件決定是否導入正式環境流量。