Skip to content

Interface language: EN. Editorial content: French. Prices refer to France.

Sir CompareComparisons with evidenceAsk Sir CompareAsk
France · EUR

Product

Qwen3.8-27B: fiche technique, prix API et données

Updated

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.

L’essentiel

Sur Qwen3.8-27B, la donnée qui compte vraiment est Fenêtre de contexte : 262,144. Je l’ai relevé chez Qwen – model card (Hugging Face). Parmi les 21 que j’ai vérifiés, 18 font mieux. L’autre chiffre à regarder est Open weights (downloadable) : 1.

Les chiffres de Qwen3.8-27B

Je les ai classés par importance, avec la valeur et la position face aux autres que j’ai vérifiés.

Fenêtre de contexte : 262,144. Position 19 sur les 21 que j’ai comparés.

Open weights (downloadable) : 1. C’est la meilleure valeur parmi les 7 que j’ai comparés.

Paramètres (milliards) : 27B. Position 7 sur les 7 que j’ai comparés.

Subject illustration: Illustration of an application (illustrative image, not a photo of the product)
À qui il s’adresse

Choisis-le si Open weights (downloadable) est ta priorité : 1, et aucun de ceux que j’ai vérifiés ne fait mieux.

Regarde ailleurs si ce qui compte pour toi est Fenêtre de contexte : ici c’est 262,144, et 18 produits font mieux.

Pour aller plus loin

Sources

Ask Sir Compare:Explain these numbers to me

Reviews and tests

Qwen3.8-27B

Reviews and tests · Qwen3.8-27B

Reviews are not available yet.

What changed

  • Page updated

How I put products in order

Sir Compare’s letter

Updates on AI Models & LLMs? I’ll send them your way.

Pick what you care about: I only write when something new comes out — a guide, a news story, a verified price that drops.

Step 1 of 2

What are you into?

Pick as many as you like. Pick none and you get what’s new in every section.

What you want to receive
  • Only what you pick
  • Never an empty email
  • One click to leave

Your assistant

Open full page →