Model Detail
OpenAI: GPT-5.3-Codex
—OpenAI: GPT-5.3-Codex is a multimodal model released by OpenAI. And supports text+image+file->text inputs.
OpenAI: GPT-5.3-Codex is priced at $1.75/M input tokens and $14/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-5.3-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-5.3-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.
Introducing GPT-5.3-Codex-Spark
Introducing GPT-5.3-Codex-Spark—our first real-time coding model. 15x faster generation, 128k context, now in research preview for ChatGPT Pro users.
GPT-5.3-Codex System Card
GPT‑5.3-Codex is the most capable agentic coding model to date, combining the frontier coding performance of GPT‑5.2-Codex with the reasoning and professional knowledge capabilities of GPT‑5.2.
Introducing GPT-5.3-Codex
GPT-5.3-Codex is a Codex-native agent that pairs frontier coding performance with general reasoning to support long-horizon, real-world technical work.
