模型详情
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.
模型规格
- 上下文长度
- 400K
- 最大输出
- 128K
- 输入/输出模态
- 文本 / 图像
- 发布日期
- 2025-11
02
API 端点
单一 MixRoute 网关,OpenAI 兼容
-
OpenAI-compatible
/v1/chat/completionsPOST
03
价格
固定费率,单位:/1M Tokens
输入
$1.2500 /1M Tokens
补全
$10.0000 /1M Tokens
05
选型摘要
快速判断是否适合你的工作负载
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
基于本页价格的实时估算,非实际账单
此模型没有缓存读取价格,不计算缓存费用
单一端点,可验证的决策
使用相同的请求格式测试此模型和备用路由
从真实工作负载开始,再由质量、总成本和故障条件决定是否接入生产流量。