Qwen3.8 27B
Qwen3.8 27B is the Qwen team's compact dense model, released under Apache 2.0 in August 2026. Its developers aim it at coding, research and long-running agentic work — planning over many steps and reacting to tool output — and it reads images and documents as well as text, with a thinking mode you can switch per request. We serve it on hardware we operate inside the EEA; prompts and completions are not stored.
model id: qwen38
from openai import OpenAI client = OpenAI( api_key="hb-...", base_url="https://api.heabsy.com/v1",) r = client.chat.completions.create( model="qwen38", messages=[{"role": "user", "content": "Hello"}],)print(r.choices[0].message.content)
curl https://api.heabsy.com/v1/chat/completions \ -H "Authorization: Bearer $HEABSY_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "qwen38", "messages": [{"role": "user", "content": "Hello"}] }'
import OpenAI from "openai"; const client = new OpenAI({ apiKey: process.env.HEABSY_API_KEY, baseURL: "https://api.heabsy.com/v1",}); const r = await client.chat.completions.create({ model: "qwen38", messages: [{ role: "user", content: "Hello" }],});console.log(r.choices[0].message.content);
export ANTHROPIC_BASE_URL=https://api.heabsy.comexport ANTHROPIC_AUTH_TOKEN="$HEABSY_API_KEY"export ANTHROPIC_MODEL=qwen38export ANTHROPIC_DEFAULT_OPUS_MODEL=qwen38export ANTHROPIC_DEFAULT_SONNET_MODEL=qwen38export ANTHROPIC_DEFAULT_HAIKU_MODEL=qwen38export CLAUDE_CODE_MAX_CONTEXT_TOKENS=262144claude
Use it in Claude Code · OpenCode · Cline · Kilo Code · SillyTavern · n8n
Price list, updated 21 October 2026. No minimum spend, no subscription.
About the model
- Developer
- Qwen (Alibaba)
- Released
- August 2026
- Licence
- Apache-2.0
- Architecture
- dense · 27B parameters
- Input
- text, images, video
- Reasoning
- switchable per request
- Languages named by the developer
- none named on the model card
Source: the developer's model card, as of 17 September 2026.
Which Qwen3.8 27B variant is this?
Qwen3.8 27B is the Qwen team's original model — the one for production work. It is not Qwen3.8-Max, a separate and far larger model that most news about “Qwen 3.8” refers to.
Qwen3.8 27B Uncensored is huihui-ai's abliteration of the base model — the refusal direction removed in layers 18–51 — in our own NVFP4 quantization; vision, tool calling and thinking stay. Its model card publishes no refusal or benchmark figures and recommends it for research and controlled environments, so test it on your own prompts. Qwen3.8 27B Obliterated (OBLITERATUS) removes refusals by a different weight edit and reports about two points lost on MMLU. Both are meant for research and red-teaming.
Qwen3.8 27B Queen is tuned for roleplay and fiction; Qwen3.8 27B Fable is a light tune on assistant and coding-agent conversations. Several other “uncensored” builds of the same base exist on Hugging Face — the open-weights field under technical details names the exact repository we serve. Qwen3.8 Flash in this catalogue is a different model of the same generation, served by a partner provider rather than on our hardware.
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.
Benchmarks reported by the developer
- Terminal Bench 2.1
- 73
- SWE-bench Pro
- 61.7
- GPQA Diamond
- 89.2
- LiveCodeBench v6
- 90.3
- OSWorld-Verified
- 84.3
- OmniDocBench 1.5
- 91.1
Figures from the developer's model card, not our measurement. Source: huggingface.co/Qwen/Qwen3.8-27B
Settings recommended by the developer
- with thinking: temperature 1, top_p 0.95
- without thinking: temperature 0.7, top_p 0.8, presence_penalty 1.5
Source: huggingface.co/Qwen/Qwen3.8-27B
Technical details
- Context window
- 256K tokens
- Max output
- 32,768 tokens
- Throughput limit
- 4M tok/min
- Tokenizer
- Qwen
- Streaming
- yes
- Open weights
- Qwen/Qwen3.8-27B
- max_tokens
- 1 … 32768
- temperature
- 0 … 2
- top_p
- 0 … 1
- frequency_penalty
- -2 … 2
- presence_penalty
- -2 … 2
- stop
- array
- seed
- integer
This model runs on GPUs we operate inside the European Economic Area. Prompts and completions are not written to our logs or durable storage, nothing is used for training, and request content is processed in the EEA. It is the model behind every measurement on the inference page — 176 tok/s per stream, sub-second first token, 91–97% prefix-cache hit on agentic workloads.
Questions about this model
›Where is Qwen3.8 27B computed?
Inside the European Economic Area, on hardware we operate. The catalog reports the processing region per model, so you can answer a supervisory authority without asking us.
›Does Qwen3.8 27B 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 Qwen3.8 27B context window?
256K tokens, with up to 32,768 tokens of output.
›What does Qwen3.8 27B cost?
$1.00 per million input tokens and $3.00 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 Qwen3.8 27B?
Yes, 4M tokens per minute. Higher limits are a question of volume, not of principle.
›Which languages does Qwen3.8 27B support?
The developer's model card names no languages. Test the model on your own material before relying on it in a particular language.
›Under which licence is Qwen3.8 27B 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 Qwen3.8 27B?
Yes. Per the developer, thinking can be switched on or off for each request.
Compare with similar models
| Model | Developer | Parameters | Context | Licence | Input / 1M |
|---|---|---|---|---|---|
| Qwen3.8 27B | Qwen (Alibaba) | 27B | 256K | Apache-2.0 | $1.00 |
| Qwen3.8 27B Fable | TeichAI | 27B | 512K | Apache-2.0 | $0.095 |
| Qwen3.8 27B Queen | aifeifei798 | 27B | 512K | Apache-2.0 | $0.095 |
| Qwen3.8 27B Uncensored | huihui-ai | 27B | 1M | Apache-2.0 | $0.8095 |
35 more models behind the same key and the same invoice.
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