Model Detail
OpenAI: GPT-5.1-Codex
—OpenAI: GPT-5.1-Codex is a multimodal model released by OpenAI. And supports text+image->text inputs.
OpenAI: GPT-5.1-Codex has been evaluated across multiple task suites. On task-specific evaluations the model scores 66.0% resolved on SWE-Bench.
OpenAI: GPT-5.1-Codex is priced at $1.25/M input tokens and $10/M output tokens. Operationally the model offers a 400K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. Pricing in this range is the working middle of the API market — neither the cheapest nor the most expensive option per token, so cost-fit is usually a function of how much output you generate.
OpenAI: GPT-5.1-Codex is published on Hugging Face but our pipeline has not yet captured architecture, license, or parameter-count metadata for this entry. The data is refreshed daily, so these fields typically populate within 24–48 hours of release.
OpenAI: GPT-5.1-Codex is best fit for mixed text-and-image reasoning tasks such as document understanding, and long-context tasks such as full-codebase analysis or book-length summarization (400K tokens). Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
GPT-5.1-Codex-Max System Card
This system card outlines the comprehensive safety measures implemented for GPT‑5.1-CodexMax. It details both model-level mitigations, such as specialized safety training for harmful tasks and prompt injections, and product-level mitigations like agent sandboxing and configurable network access.
Building more with GPT-5.1-Codex-Max
Introducing GPT-5.1-Codex-Max, a faster, more intelligent agentic coding model for Codex. The model is designed for long-running, project-scale work with enhanced reasoning and token efficiency.
