Product
Qwen3.8-27B: specs, API pricing and data
Updated
QwenAI Models & LLMs
- Context window
- 262,144 tokens
- Open weights (downloadable)
- Yes
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
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.
- NVIDIA RTX graphics cardsThe card's memory decides which models fitSearch on Amazon ↗
- Gaming PCs with RTXReady to use: graphics card, RAM and SSDSearch on Amazon ↗
- Gaming laptops with RTXTo try them away from home tooSearch on Amazon ↗
- Powerful mini PCsSmall and quiet, for lighter modelsSearch on Amazon ↗
- NVMe SSDs for modelsEach model takes tens of GBSearch on Amazon ↗
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.
The short version
On Qwen3.8-27B the figure that actually matters is Context window: 262,144. I took that figure from Qwen – model card (Hugging Face). Among the 21 I checked, 18 do better. The other figure to look at is Open weights (downloadable): 1.
The numbers on Qwen3.8-27B
I put them in order of importance, with the value and the standing against the others I checked.
Context window: 262,144. Rank 19 of the 21 I compared.
Open weights (downloadable): 1. That is the best value among the 7 I compared.
Parameters (billions): 27B. Rank 7 of the 7 I compared.
Who it is for
Take it if Open weights (downloadable) is your priority: 1, and none of the ones I checked does better.
Look elsewhere if what matters to you is Context window: here it is 262,144, and 18 products do better.
Explore related coverage
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
- Page updated