Does Qwen3 14B support zero data retention?

Not self-serve on Pay-as-you-go. Zero data retention for Qwen3 14B is available on request via Opper Enterprise — contact hello@opper.click.

Where is Qwen3 14B hosted?

Qwen3 14B runs on US hosting routes through the Opper gateway.

Is Qwen3 14B trained on prompts and outputs?

No. Every hosting route for Qwen3 14B is configured so customer prompts and outputs are not used to train models by default.

Qwen3 14B

by Alibaba

Qwen3 14B is Alibaba's April 2025 dense model with switchable hybrid reasoning: a thinking mode that exposes step-by-step logic for math, coding, and logical problems, and a non-thinking mode for fast direct responses. Trained on a large multilingual corpus across many languages, it combines reasoning strength with agentic tool use. A 40K context window supports extended reasoning and conversation history, and the model improves on the Qwen2.5 line for mathematics, code generation, and commonsense reasoning while staying lighter than the 235B MoE variant. Released under Apache 2.0, it fits workloads wanting optional visible reasoning chains and cost-efficient agentic systems with tool integration.

Open in playground Try in chat Compare

Key info

Input

Output

Features

Context window

41K

Max output

41K

Input price

$0.12 /1M

Output price

$0.24 /1M

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

Available routes

Qwen3 14B runs on 1 route 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
DeepInfra	US	Enterprise	No	$0.12	$0.24

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

Data handling per route

Each route hosting Qwen3 14B has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra — United States🇺🇸

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

Zero data retention: Available via Opper Enterprise contract.
Training: No training on customer data.
Logging: Limited debug logs
Third-party access: None disclosed
GDPR DPA: No DPA
Transfer mechanism: unknown

Benchmarks

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

Global rank#322 of 534 LLMs

TierEfficient

Output speed65 tok/s

First token1.20s

Intelligence Index10.1

Math Index55.7

Reasoning & knowledge

MMLU-Pro

77%

GPQA Diamond

60%

Humanity's Last Exam

Long-context reasoning

Coding

LiveCodeBench

52%

SciCode

32%

Agentic & tool use

Terminal-Bench Hard

τ²-Bench Telecom

35%

Math & instruction following

AIME 2025

56%

IFBench

41%

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

Get started

Call Qwen3 14B 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.click/v3/compat",
6});
7
8const completion = await client.chat.completions.create({
9  model: "deepinfra/Qwen/Qwen3-14B",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);