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Qwen3 32B

Qwen3 32B is the dense 32.8B model from the Qwen team (Apache 2.0, April 2025) that switches between a thinking mode for logic, maths and code and a non-thinking mode for efficient dialogue. The developers claim more than 100 languages and dialects, with multilingual instruction following and translation. An earlier generation with a short native context, but a dependable all-rounder for multilingual text work. It is fulfilled through global providers under our European contract, and requests go only to backends that do not retain prompts or completions.

model id: qwen3-32b

from openai import OpenAI client = OpenAI(    api_key="hb-...",    base_url="https://api.heabsy.com/v1",) r = client.chat.completions.create(    model="qwen3-32b",    messages=[{"role": "user", "content": "Hello"}],)print(r.choices[0].message.content)
Context
128K tokens
Serving
Global providers · EU contract
Tool calling
Reasoning
Structured output
Vision
Input
$0.12/ 1M
Cached input
$0.12/ 1M
Output
$0.43/ 1M

Price list, updated 12 September 2026. No minimum spend, no subscription.

About the model

Developer
Qwen (Alibaba)
Released
April 2025
Licence
Apache-2.0
Architecture
dense · 32.8B parameters
Input
text
Reasoning
switchable per request
Languages named by the developer
100+ languages

Source: the developer's model card, as of 17 September 2026.

Licence: what it means for your company

Apache-2.0. A permissive open-source licence: you may use, modify and sell products built on the model, including commercially; when you redistribute the weights, the licence and copyright notices go with them.

A summary of the licence, not legal advice.

Technical details

Context window
128K tokens
Max output
65,536 tokens
Throughput limit
200K tok/min
Tokenizer
Other
Streaming
yes
Open weights
qwen/qwen3-32b
Supported parameters
max_tokens
1 … 65536
temperature
0 … 2
top_p
0 … 1
frequency_penalty
-2 … 2
presence_penalty
-2 … 2
stop
array
seed
integer
Bought for you, billed by us

This model is fulfilled through global providers under our European contract: one DPA with an EU company, one invoice for every model in the catalog, no US counterparty on your paperwork. Compute may run outside the EEA — if you need strict EEA-only processing, use our own-hardware model.

Questions about this model

Where is Qwen3 32B computed?

Outside the EEA, through a global provider under our European contract. You get one DPA with an EU company and one invoice, but the compute itself does not run in the EEA — we state that instead of hiding it.

Does Qwen3 32B store prompts and completions?

No. This model runs with zero data retention: request content is not written to durable storage and nothing is used for training.

How large is the Qwen3 32B context window?

128K tokens, with up to 65,536 tokens of output.

What does Qwen3 32B cost?

$0.12 per million input tokens and $0.43 per million output tokens. No minimum spend and no subscription; the same price list covers the API and the invoice.

Is there a throughput limit on Qwen3 32B?

Yes, 200K tokens per minute. Higher limits are a question of volume, not of principle.

Which languages does Qwen3 32B support?

The developer states support for more than 100 languages without listing them. Whether your language is among them is not documented — test on your own material first.

Under which licence is Qwen3 32B released?

Apache-2.0. A permissive open-source licence: you may use, modify and sell products built on the model, including commercially; when you redistribute the weights, the licence and copyright notices go with them.

Can reasoning be switched off in Qwen3 32B?

Yes. Per the developer, thinking can be switched on or off for each request.

Compare with similar models

ModelDeveloperParametersContextLicenceInput / 1M
Qwen3 32BQwen (Alibaba)32.8B128KApache-2.0$0.12
Qwen3.6 35B A3BQwen (Alibaba)35B / 3B256KApache-2.0$0.15
Qwen3 Next 80B A3B InstructQwen (Alibaba)80B / 3B256KApache-2.0$0.14
Qwen3 Coder NextQwen (Alibaba)80B / 3B256KApache-2.0$0.18

30 more models behind the same key and the same invoice.

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