Run Qwen3.8 27B Cybersecurity without a GPU.
Security by Qwen (community tune), on UncensoredLLM as qwen3.8-27b-cybersecurity.
Qwen3.8 27B Cybersecurity is a security build. It costs $0.40 per million input tokens and $2.40 per million output tokens, prepaid, with a 262,144-token context window. Call it at https://api.uncensoredllm.ai/v1/chat/completions with model "qwen3.8-27b-cybersecurity" and an UncensoredLLM key, from any OpenAI SDK or client that takes a base URL.
Price per million tokens
- Input
- $0.40
- Output
- $2.40
- Daily check
- Steady since Oct 29
- As of
- 2026-11-09
First request
curl https://api.uncensoredllm.ai/v1/chat/completions \ -H "Authorization: Bearer sk-ullm-live-…" \ -H "Content-Type: application/json" \ -d '{"model": "qwen3.8-27b-cybersecurity", "messages": [{"role": "user", "content": "Hello"}]}'Qwen3.8 27B Cybersecurity settings for OpenCode and Cline
- Provider
- OpenAI-compatible
- Base URL
- https://api.uncensoredllm.ai/v1
- Model
- qwen3.8-27b-cybersecurity
- Context window
- 262,144 tokens
- Key prefix
- sk-ullm-
Qwen3.8 27B Cybersecurity specs
- Kind
- Security
- Developer
- Qwen (community tune)
- Base model
- Qwen3.8 27B
- Context window
- 262,144 tokens
- Wire formats
- openai
Get a key
- Create a key in the console. Credit is prepaid from $10, with no subscription.
- Set OPENAI_BASE_URL to https://api.uncensoredllm.ai/v1 and send your sk-ullm- key as the bearer token.
- Send qwen3.8-27b-cybersecurity as the model. The same key calls every model on UncensoredLLM.
What Qwen3.8 27B Cybersecurity is
- Base model
- Base parameters
- 27B, dense
- Base context, per the card
- 262,144 tokens natively, extensible to 1,000,000
- License of the base, read 2026-10-26
- Apache-2.0
- Kind
- the model served without a content filter
- Context window here
- 262,144 tokens
From the SDK
from openai import OpenAI client = OpenAI(base_url="https://api.uncensoredllm.ai/v1", api_key="sk-ullm-live-…") completion = client.chat.completions.create( model="qwen3.8-27b-cybersecurity", messages=[{"role": "user", "content": "Hello"}],)print(completion.choices[0].message.content)import OpenAI from 'openai'; const client = new OpenAI({ baseURL: 'https://api.uncensoredllm.ai/v1', apiKey: 'sk-ullm-live-…' }); const completion = await client.chat.completions.create({ model: 'qwen3.8-27b-cybersecurity', messages: [{ role: 'user', content: 'Hello' }],});console.log(completion.choices[0].message.content);What Qwen3.8 27B Cybersecurity answers
Qwen3.8 27B Cybersecurity is set up for security work: it answers offensive-security, malware-analysis and red-team questions the stock models refuse. Use it under the acceptable-use terms.
Every request is routed to the build’s live route and settled to the token at the prices above. The daily real-model check sends a fixed prompt to every model and records whether the answer still matches; this model’s verdict today is “Steady since Oct 29”.
Use it from the OpenAI SDK, from SillyTavern or Janitor, or from a coding agent. Keys and top-ups live in the console.
Also try
More from Qwen (community tune)
What Qwen3.8 27B Cybersecurity costs, worked
A chat turn of 2,000 input and 500 output tokens at $0.40 input and $2.40 output per million tokens is $0.002; 1,000 turns are $2.00. A long chat session of 100 replies of 300 tokens costs $0.232 at 4,000 tokens of context and $0.712 at 16,000: every message resends the context, so size it to what the chat needs. All from prepaid credit, no subscription.
| Security builds | Context | In / out per 1M | 1,000 chat turns |
|---|---|---|---|
| Gemma 4 26B A4B Cybersecurity | 262K | $0.4224 / $1.3376 | $1.51 |
| GLM-5.3 Flash Cybersecurity | 1049K | $0.5093 / $1.6975 | $1.87 |
| Qwen3.8 27B Cybersecurity | 262K | $0.40 / $2.40 | $2.00 |
| Red Team (Flash) | — | $0.90 / $3.00 | $3.30 |
| Red Team (Pro) | — | $1.50 / $6.00 | $6.00 |
| OrcaCyber MiniMax M3.1 Flash | 262K | $2.00 / $4.00 | $6.00 |
| OrcaCyber MiniMax M3.1 Flash | 262K | $2.00 / $4.00 | $6.00 |
| OrcaCyber Qwen3.8 Flash Next | 262K | $2.00 / $4.00 | $6.00 |
| OrcaCyber Qwen3.8 Flash Next | 262K | $2.00 / $4.00 | $6.00 |
| CyberHeabsy | 1049K | $5.25 / $15.75 | $18.38 |
| OrcaCyber Zero 1.5 | 999K | $7.50 / $18.75 | $24.38 |
Qwen3.8 27B Cybersecurity in OpenCode and Cline: what to set
The three fields are the base URL, the key and the model id, as in the settings above. What differs by build is the reply length, the reasoning switch and the context size, and those decide both whether a reply arrives whole and what each message costs.
- Context Size up to 262,144 tokens, the window the catalog lists for qwen3.8-27b-cybersecurity. Every message resends the context, so set it to what the chat needs rather than the maximum.
- No jailbreak preamble is needed and none should be sent: a preamble is resent and billed on every message, and this build answers without one.
A request that fails before the model answers is not billed. A refusal written as ordinary text is billed like any answer, which is the reason to send this build rather than a stock model with a preamble.
What Qwen3.8 27B Cybersecurity costs by client
| Session | What is sent | At the live price |
|---|---|---|
| SillyTavern or Janitor AI, one evening | 100 replies of 300 tokens on 4,000 tokens of context | $0.232 |
| The same evening on a long chat | 100 replies of 300 tokens on 16,000 tokens of context | $0.712 |
| A month of short turns | 1,000 turns of 2,000 input and 500 output tokens | $2.00 |
| A coding day in OpenCode or Cline | 40 requests of 6,000 input and 1,200 output tokens | $0.2112 |
| One long document, summarised once | 100,000 input and 1,000 output tokens in one request | $0.0424 |
Qwen3.8 27B Cybersecurity questions
Qwen3.8 27B Cybersecurity is a security build of Qwen3.8 27B from Qwen (community tune), with a 262,144-token context window. On UncensoredLLM it answers as qwen3.8-27b-cybersecurity.
No. Credit is prepaid from $10 and billed per token: input $0.40 and output $2.40 per million tokens.
About $0.0016 for 1,000 tokens in and 500 tokens out, at $0.40 in and $2.40 out per million tokens.
Up to 262,144 tokens, the context window the catalog lists for Qwen3.8 27B Cybersecurity.
Yes. Send qwen3.8-27b-cybersecurity as the model through the OpenAI SDK, or any client that takes a custom OpenAI base URL, with base URL https://api.uncensoredllm.ai/v1.
In SillyTavern, set API to Chat Completion, Source to Custom (OpenAI-compatible) and the custom endpoint to https://api.uncensoredllm.ai/v1, paste your key, then pick qwen3.8-27b-cybersecurity from the list it loads. In Janitor AI, choose Proxy, set the URL to https://api.uncensoredllm.ai/v1/chat/completions, paste your key and type qwen3.8-27b-cybersecurity as the model. See the docs.
Yes. The daily real-model check sends every model the same fixed prompt and records whether the answer still matches. Qwen3.8 27B Cybersecurity’s latest result, from Nov 9: steady since Oct 29. See the daily check.
Qwen's Qwen3.8 27B: 27B, dense, 262,144 tokens natively, extensible to 1,000,000 of context, open weights under Apache-2.0 (Qwen/Qwen3.8-27B, read 2026-10-26). This build is that model served without a content filter.
The stock Qwen3.8 27B is released under Apache-2.0 (Qwen/Qwen3.8-27B on Hugging Face, read 2026-10-26). Qwen3.8 27B Cybersecurity is a build of those weights; sending qwen3.8-27b-cybersecurity here needs no copy of them.
Yes: qwen3.8-27b-cybersecurity at https://api.uncensoredllm.ai/v1 on the OpenAI format, $0.40 / $2.40 per million tokens in / out, from prepaid credit with no subscription. Point SillyTavern, Janitor AI or the OpenAI SDK at that base URL with your key and this model id.
Neither: it is prepaid credit from $10, billed per token, with no monthly fee. One reply of 300 tokens on 4,000 tokens of context costs about $0.0023 at the live price, and 100 such replies $0.232.
The stock Qwen3.8 27B is open weights (27B, dense, Apache-2.0 on Qwen/Qwen3.8-27B, read 2026-10-26), and community uncensored conversions are published on Hugging Face at the same size. Sending qwen3.8-27b-cybersecurity to https://api.uncensoredllm.ai/v1 needs no download and no GPU: 100 replies cost $0.232 at the live price.
$0.20 for 100 chat turns of 2,000 input and 500 output tokens each, at $0.40 input and $2.40 output per million tokens, from prepaid credit with no subscription.