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Qwen3.8-27B: Datenblatt, API-Preise und Daten

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Qwen Qwen3.8-27B — drawn card, not a photograph of the product

QwenAI Models & LLMs

Context window
262,144 tokens
Open weights (downloadable)
Yes

You use it and pay per use through the vendor's API, per million tokens: there is no shop. The list prices are in the data sheet below.

Data sheet · Qwen3.8-27B

Every figure is quoted from the vendor's official page, with the date we read it. If a row is missing, the source does not state it and we do not estimate it.

Memory and answer length

Context window
262,144 tokensRank 19 of 21
What it means and the source

How much text the model keeps in view in a single request, question and answer included. It matters for long documents and whole code projects. A token is a fragment of a word.

huggingface.coOpens the source in a new tab Oct 23, 2026

Size and openness

Parameters
27 billion
What it means and the source

The size of the network: how many billions of learned values make it up. Bigger does not necessarily mean better, but it tells how much hardware it takes to run it yourself.

huggingface.coOpens the source in a new tab Oct 23, 2026
Open weights (downloadable)
Yes7 models out of 23
What it means and the source

The model's weights can be downloaded: you can run it on your own servers, adapt it and decide where the data stays, within the licence terms.

huggingface.coOpens the source in a new tab Oct 23, 2026

Where it stands · Qwen3.8-27B

The same verified figures, next to those of the other catalogue models. Tap a model for the head-to-head.

Hardware to try AI at home

Qwen3.8-27B: just holding the weights in memory takes about 54 GB at 16-bit, 27 GB at 8-bit, 13.5 GB at 4-bit. A graphics card with at least 16 GB of memory holds the compressed model.Worked out from the billions of parameters the vendor states, not a measurement: context and the runtime need more memory.

Affiliate links: we may earn a commission from qualifying purchases, and it never changes our data or rankings. They open Amazon's search results: prices and availability are shown there.

Questions and answers

Qwen3.8-27B: how much text can it read at once?

The context window is 262,144 tokens.

Qwen3.8-27B: can I run it on my own computer?

Yes, the vendor publishes the model's weights. Parameters: 27 billion. Holding them in memory takes about 13.5 GB at 4-bit; context and the runtime need more memory.

Kurz gefasst

Bei Qwen3.8-27B ist Kontextfenster der Wert, auf den es ankommt: 262,144. Ich habe sie von Qwen – model card (Hugging Face) übernommen. Unter den 21, die ich geprüft habe, sind 18 besser. Die andere Zahl, auf die es ankommt, ist Open weights (downloadable): 1.

Die Zahlen zu Qwen3.8-27B

Ich habe sie nach Gewicht geordnet, mit dem Wert und dem Platz unter den anderen, die ich geprüft habe.

Kontextfenster: 262,144. Platz 19 von 21, die ich verglichen habe.

Open weights (downloadable): 1. Das ist der beste Wert unter den 7, die ich verglichen habe.

Parameter (Milliarden): 27B. Platz 7 von 7, die ich verglichen habe.

Subject illustration: Illustration of an application (illustrative image, not a photo of the product)
Für wen es sich lohnt

Nimm es, wenn Open weights (downloadable) für dich Vorrang hat: 1 — keines der geprüften Modelle ist besser.

Sieh dich anderswo um, wenn dir Kontextfenster wichtig ist: hier sind es 262,144, und 18 Produkte sind besser.

Verwandte Inhalte

Quellen

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Reviews and tests

Qwen3.8-27B

Reviews and tests · Qwen3.8-27B

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