模型详情
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.
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
- 2026-01
02
API 端点
单一 MixRoute 网关,OpenAI 兼容
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OpenAI-compatible
/v1/chat/completionsPOST
03
价格
固定费率,单位:/1M Tokens
输入
$1.7500 /1M Tokens
补全
$14.0000 /1M Tokens
缓存读取
$0.1750 /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?
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
Token 成本估算
基于本页价格的实时估算,非实际账单
同一前缀被重复读取的输入占比,最高 100%
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。