Does GPT-5.1 Codex Mini support zero data retention?

Not self-serve on Pay-as-you-go. Zero data retention for GPT-5.1 Codex Mini is available on request via Opper Enterprise — contact hello@opper.ai.

Where is GPT-5.1 Codex Mini hosted?

GPT-5.1 Codex Mini runs on both EU and US hosting routes through the Opper gateway. Pick the route that matches your residency requirement.

Is GPT-5.1 Codex Mini trained on prompts and outputs?

No. Every hosting route for GPT-5.1 Codex Mini is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for GPT-5.1 Codex Mini?

Yes. A GDPR Data Processing Agreement is available on at least one route serving GPT-5.1 Codex Mini. Contact hello@opper.ai to receive it.

GPT-5.1 Codex Mini

by OpenAI

GPT-5.1 Codex Mini is a faster, more cost-efficient Codex variant that keeps the 272,000-token context window while favoring quick responses for interactive development. It handles code generation and analysis across tasks from single-function edits to multi-file refactoring. The variant fits development environments, continuous integration pipelines, and real-time code assistance where response speed matters and the model still needs to work with large codebases.

Open in playground Try in chat Compare

Key info

Input

Output

Features

Context window

272K

Max output

128K

Input price

$0.25 /1M

Output price

$2.00 /1M

EU residency available
US residency available
Zero data retention via Enterprise
No training by default
GDPR DPA available

Available routes

GPT-5.1 Codex Mini runs on 2 different routes through the Opper gateway. Compare residency, ZDR, and training posture at a glance — full data-handling detail per route below.

Provider	Region	Zero data retention	Training	Input	Output
Azure	EU	Enterprise	No	$0.25	$2.00
OpenAI	US	Enterprise	No	$0.25	$2.00

Training posture across routes: No training on prompts by default.

Data handling per route

Each route hosting GPT-5.1 Codex Mini has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Azure — Sweden🇸🇪

Zero data retention is available via Opper Enterprise contract. No training on customer data. EU; DPA available.

Zero data retention: Available via Opper Enterprise contract.
Training: No training on customer data.
Logging: Abuse monitoring (30-day retention)
Third-party access: None disclosed
GDPR DPA: DPA available
Transfer mechanism: Not applicable — data stays in EU

OpenAI — United States🇺🇸

Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.

Zero data retention: Available via Opper Enterprise contract.
Training: No training on customer data.
Logging: Abuse monitoring (30-day retention)
Third-party access: None disclosed
GDPR DPA: DPA available
Transfer mechanism: SCCs

Benchmarks

Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#97 of 531 LLMs

TierStrong

Output speed210 tok/s

First token2.42s

Intelligence Index30.6

Coding Index36.4

Math Index91.7

Reasoning & knowledge

MMLU-Pro

82%

GPQA Diamond

81%

Humanity's Last Exam

17%

Long-context reasoning

63%

Coding

LiveCodeBench

84%

SciCode

43%

Agentic & tool use

Terminal-Bench Hard

33%

τ²-Bench Telecom

63%

Math & instruction following

AIME 2025

92%

IFBench

68%

See full leaderboard →Benchmarks via Artificial Analysis · View on AA

Get started

Call GPT-5.1 Codex Mini through the Opper gateway with one API key. Let your coding agent set it up, or call it directly — Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into your coding agent — Claude Code, Cursor, Codex, and more — and it'll wire up Opper for you.

Or call it directly

1import OpenAI from "openai";
2
3const client = new OpenAI({
4  apiKey: process.env.OPPER_API_KEY,
5  baseURL: "https://api.opper.ai/v3/compat",
6});
7
8const completion = await client.chat.completions.create({
9  model: "openai/gpt-5.1-codex-mini",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);