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GPT-5.1 Codex

GPT-5.1-Codex is a specialized iteration of the GPT-5.1 architecture, purpose-built to serve as a high-performance partner for software engineering and agentic coding workflows. Designed to handle the rigors of professional development, the model excels at managing multifile projects, debugging intricate systems, and executing large-scale refactoring tasks. By prioritizing steerability and strict adherence to developer instructions, it produces cleaner, more reliable code outputs compared to its base version. Its design intent focuses on bridging the gap between simple code assistance and autonomous agentic applications, allowing it to function effectively within IDEs, CLI environments, and cloud-based development tasks.

Built upon the foundation of GPT-5.1, this model incorporates advanced reasoning capabilities that allow users to adjust effort levels dynamically, balancing rapid responses for minor edits with sustained, multi-hour performance for complex architectural changes. The model is trained to perform structured code reviews by reasoning over dependencies and validating logic against test suites, ensuring higher accuracy in production environments. It supports multimodal inputs, such as UI screenshots, and integrates seamlessly with external tools for tasks like dependency installation and environment configuration. As an incremental improvement over previous reasoning-focused models, it represents a stable, low-risk advancement for enterprise-grade coding, providing a robust framework for developers to automate and scale their software projects.

Kilo Gatewayopenai/gpt-5.1-codexgpt-codex

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Provider
Kilo Gateway
Model key
openai/gpt-5.1-codex
Release date
Nov 13, 2025
Last updated
Nov 13, 2025
Knowledge cutoff
2024-09-30
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.25
Output token cost
$10.00

Limits

Input tokens
272,000 tokens
Output tokens
128,000 tokens
Context window
400,000 tokens

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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