Speed
Output tokens / second
Custom pricing for production workloads
GPT-5.3 Codex is a coding-specialized model from the GPT-5.3 series for advanced code generation.
The most capable agentic coding model ever built, combining frontier coding, deep reasoning, and full computer-use into one model that works with you, not just for you.
openai/gpt-5.3-codexhttps://api.aimlapi.com/v1Meet GPT‑5.3 Codex, OpenAI’s most advanced agentic coding model for building autonomous, tool‑using developer agents and production‑grade AI workflows. Unlike a simple code autocomplete tool, GPT‑5.3‑Codex can initiate and sustain long-running tasks: conducting research, using external tools, managing deployments, writing documentation, and iterating on complex software over millions of tokens, all while keeping you actively in the loop.
Achieves state-of-the-art performance on SWE-Bench Pro, a rigorous, multi-language real-world software engineering benchmark. Resolves complex GitHub issues across Python, JavaScript, TypeScript, Rust, and more.
Builds fully functional, visually polished web apps and games from scratch. GPT‑5.3‑Codex autonomously iterated on complex games over millions of tokens, understanding intent without exhaustive specification.
Reads documentation, runs web research, analyzes structured data, and writes comprehensive reports. It can summarize thousands of data points in minutes with concise, actionable insights.
Matches GPT‑5.2 on GDPval, OpenAI's benchmark across 44 occupations. Creates presentations, spreadsheets, PRDs, financial analyses, training documents, and more at professional quality.
GPT‑5.3‑Codex achieves new state-of-the-art results on four benchmarks measuring coding ability, terminal proficiency, computer use, and professional knowledge work.
GPT-5.3-Codex is documented as suited to debugging code and fixing failures in software workflows. It is also suited to deploying and monitoring software systems as part of the full software lifecycle. Another documented use case is writing product requirements documents, user research, and editing copy. It is also described as useful for slide decks and analyzing data in spreadsheets.
See how GPT-5.3 Codex compares in generation speed. Data retrieved Nov 3, 2026.
Output tokens / second
Compare 17 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Reasoning across long documents of about 100k tokens.
Following precise instructions about the shape of the answer.
Customer support agent tasks with tool calls.
| Usage | Price | Unit |
|---|---|---|
| Input | $3.7 | 1M tokens |
| Output | $29.62 | 1M tokens |
| Cached input | $0.3703 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $3.7 | $29.62 | |
| $0.1 | $0.5 | |
| $1 | $5 | |
| $2 | $10 | |
| $2.12 | $10.58 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "openai/gpt-5.3-codex",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "openai/gpt-5.3-codex",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "openai/gpt-5.3-codex",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());GPT-5.3 Codex has a 400,000 tokens context window and can return up to 128,000 tokens.
GPT-5.3 Codex takes image, text as input and returns text.
Use openai/gpt-5.3-codex as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GPT-5.3 Codex became available on March 2, 2026.
GPT-5.3 Codex costs $3.7 input and $29.62 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Yes, GPT-5.3 Codex can stream responses as they are generated.
Yes, GPT-5.3 Codex accepts image input alongside text.
GPT-5.3 Codex was built by OpenAI.