Run Qwen3 VL 235B-A22B Instruct Uncensored without a GPU.
Uncensored by Qwen, on UncensoredLLM as qwen3-vl-235b-a22b-instruct-uncensored.
Qwen3 VL 235B-A22B Instruct Uncensored is an uncensored model from Qwen. It costs $0.005 per request, prepaid, with a 262,144-token context window. Call it at https://api.uncensoredllm.ai/v1/chat/completions with model "qwen3-vl-235b-a22b-instruct-uncensored" and an UncensoredLLM key, from any OpenAI SDK or client that takes a base URL.
Price per million tokens
- Input
- $0.005 per request
- Output
- Daily check
- Steady since Nov 3
- 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-vl-235b-a22b-instruct-uncensored", "messages": [{"role": "user", "content": "Hello"}]}'Qwen3 VL 235B-A22B Instruct Uncensored settings for SillyTavern and Janitor AI
- SillyTavern API
- Chat Completion
- Source
- Custom (OpenAI-compatible)
- Custom endpoint
- https://api.uncensoredllm.ai/v1
- Model
- qwen3-vl-235b-a22b-instruct-uncensored
- Context Size
- 262,144 tokens
- Max response length
- 32,768 tokens
- Janitor AI proxy URL
- https://api.uncensoredllm.ai/v1/chat/completions
- Key prefix
- sk-ullm-
Qwen3 VL 235B-A22B Instruct Uncensored specs
- Kind
- Uncensored
- Developer
- Qwen
- Context window
- 262,144 tokens
- Max output
- 32,768 tokens
- Input
- text and image
- 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-vl-235b-a22b-instruct-uncensored as the model. The same key calls every model on UncensoredLLM.
What Qwen3 VL 235B-A22B Instruct Uncensored is
- Developer
- Qwen
- Weights
- not published for this build
- Context window here
- 262,144 tokens
- Max output
- 32,768 tokens
- Input
- text and image
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-vl-235b-a22b-instruct-uncensored", 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-vl-235b-a22b-instruct-uncensored', messages: [{ role: 'user', content: 'Hello' }],});console.log(completion.choices[0].message.content);What Qwen3 VL 235B-A22B Instruct Uncensored answers
Qwen3 VL 235B-A22B Instruct Uncensored is an uncensored build: it answers without the safety refusals of the stock model.
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 Nov 3”.
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
Qwen3 VL 235B-A22B Instruct Uncensored in SillyTavern and Janitor AI: 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-vl-235b-a22b-instruct-uncensored. 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.
Qwen3 VL 235B-A22B Instruct Uncensored questions
Qwen3 VL 235B-A22B Instruct Uncensored is an uncensored build from Qwen, with a 262,144-token context window, taking text and image input. On UncensoredLLM it answers as qwen3-vl-235b-a22b-instruct-uncensored.
No. Credit is prepaid from $10 and each request costs $0.005.
Up to 262,144 tokens, the context window the catalog lists for Qwen3 VL 235B-A22B Instruct Uncensored; Max Response Length can go up to 32,768 tokens.
Yes. Send qwen3-vl-235b-a22b-instruct-uncensored 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-vl-235b-a22b-instruct-uncensored 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-vl-235b-a22b-instruct-uncensored 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 VL 235B-A22B Instruct Uncensored’s latest result, from Nov 9: steady since Nov 3. See the daily check.
No base model, parameter count or training notes are published for Qwen3 VL 235B-A22B Instruct Uncensored. The catalog lists a 262,144-token context window and 32,768 max output tokens.
Yes, with the settings above: Chat Completion with a Custom (OpenAI-compatible) source and https://api.uncensoredllm.ai/v1 as the endpoint in SillyTavern; the proxy URL https://api.uncensoredllm.ai/v1/chat/completions and qwen3-vl-235b-a22b-instruct-uncensored as the model in Janitor AI. See the SillyTavern guide.