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OGPT-5.3-CodexAPI

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2.

400KContext window · tokens
$1.75Input price · per M tokens
$14Output price · per M tokens
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Prices update automatically — checked daily against provider list prices.

See open-source alternatives → Compare all model prices

Benchmarks & performance

Independent benchmark scores for GPT-5.3-Codex, measured by Artificial Analysis. Higher is better. Measurement mode: xhigh.

Intelligence index45.5
GPQA91.5%
Humanity's Last Exam42.5%
Long Context Reasoning78.3%
SciCode53.2%
IFBench75.4%
τ²-Bench86%
Terminal-Bench Hard53%
⚡ Speed125.8 tokens/sec
⏱ Latency40.06s to first token
💰 Blended price$4.813 / 1M tokens
📈 Value9.5 intelligence points per $
vs. models measured heretop 18%
Scores higher than 82% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $2.22 per 1M tokens (median of 10) — this one costs $4.81.
Cheaper and better on this index: GPT-5.6 Sol · Grok 4.6 · GPT-5.6 Sol (batch) and 29 more
Benchmark data by Artificial Analysis

About this model

GPT-5.3-Codex is a commercial AI model by OpenAI. The specifications below are tracked automatically: pricing is refreshed daily from public list prices, so the numbers on this page reflect the current cost of using the model through its API.

Frequently asked questions

What is GPT-5.3-Codex?

GPT-5.3-Codex is an AI language model from OpenAI. It is a proprietary model, available through an API. It scores 45.5 on the Artificial Analysis intelligence index.

Is GPT-5.3-Codex free?

GPT-5.3-Codex is not free: it costs $1.75 per million input tokens and $14 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is GPT-5.3-Codex good at?

Independent benchmarks from Artificial Analysis give it GPQA 91.5%, Humanity's Last Exam 42.5%, Long Context Reasoning 78.3%, SciCode 53.2%, IFBench 75.4%, τ²-Bench 86%, Terminal-Bench Hard 53%.

How fast is GPT-5.3-Codex?

It generates about 125.8 tokens per second, with a median 40.06s delay before the first token. Measured independently by Artificial Analysis.

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