Qwen3 32B

by Alibaba

Qwen3-32B is Alibaba's dense 32.8 billion parameter model, part of the Qwen3 family released in April 2025. Unlike the MoE variants, every parameter activates for each token, which gives predictable inference performance, consistent memory requirements, and straightforward deployment across hardware. The model supports a hybrid mode that allocates reasoning depth to the query: for straightforward tasks it answers directly, while for mathematical, logical, or coding challenges it generates step-by-step reasoning in think blocks. Native context covers around 40K tokens, extending to 131K via YaRN, so it handles long documents, code repositories, and complex reasoning. It aims at balanced performance across knowledge tasks, mathematical reasoning, software development, and 100+ languages, drawing on roughly 36 trillion tokens of pretraining data. The dense architecture avoids MoE routing and gives predictable latency for production deployments. Open-weight under Apache 2.0.

Key info

Input
Output
Features
Context window
41K
Max output
41K
Input price
$0.08 /1M
Output price
$0.28 /1M
  • EU residency available
  • US residency available
  • Zero data retention on pay-as-you-go
  • No training by default
  • GDPR DPA available

Available routes

Qwen3 32B 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.

ProviderRegionZero data retentionTrainingInputOutput
USZero data retentionNo$0.08$0.28
EUNot by defaultNo$0.10$0.30

Uptime and availability

Qwen3 32B runs on 2 independently monitored routes through the Opper gateway. A direct integration leaves you on one of them, the gateway serves whichever is healthy.

100%effective uptime, last 30 days
Averaged across these routes on their own, a single provider reached 98.18% over the same window.
Daily status through the gateway, which serves each request from whichever route is healthy.
2 monitored providers serve Qwen3 32B.

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting Qwen3 32B 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 on by default on Pay-as-you-go — no action required. No training on customer data. US; unknown; DPA available.

Zero data retention
On by default on Pay-as-you-go. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
None
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
GDPR DPA
DPA available
Transfer mechanism
unknown

Nebius Finland🇫🇮

Zero data retention is not on by default — abuse monitoring. No training on customer data. EU; DPA available.

Zero data retention
Not by default — abuse monitoring. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
Abuse monitoring
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
GDPR DPA
DPA available
Transfer mechanism
Not applicable — data stays in EU

Benchmarks

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

Intelligence Index5.7
Coding Index15.3
Math Index73.0
Reasoning & knowledge
MMLU-Pro
80%
GPQA Diamond
67%
Humanity's Last Exam
7%
Long-context reasoning
0%
Coding
LiveCodeBench
55%
Agentic & tool use
Terminal-Bench Hard
3%
τ²-Bench Telecom
30%
Math & instruction following
AIME 2025
73%
IFBench
36%

Get started

Call Qwen3 32B 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 a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPPER_API_KEY,
baseURL: "https://api.opper.ai/v3/compat",
});
const completion = await client.chat.completions.create({
model: "deepinfra/Qwen/Qwen3-32B",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Compare Qwen3 32B with…

Side-by-side on privacy, EU hosting, pricing, and benchmarks.

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