Models / Uncensored / Qwen (community tune)
Qwen3.8 27B Obliterated API pricing
$0.75 in, $5.25 out per million tokens.
Price · per million tokens, USD
| Tokens | Qwen (community tune) list price | UplinkSwitch | Saving |
|---|---|---|---|
| Input | — | $0.75 | — |
| Cached input | Billed at the input rate. | ||
| Output | — | $5.25 | — |
Qwen3.8 27B Obliterated specs
- Context window
- 524,288 tokens
- Input
- text
Qwen3.8 27B Obliterated: OBLITERATUS’s abliterated Qwen3.8 · 550,946 downloads in 30 days, per token here
Qwen3.8 27B Obliterated is OBLITERATUS's abliteration of Qwen3.8 27B (its card; 550,946 Hugging Face downloads in the 30 days to 2026-10-20). It runs two refusal-removal surgeries, SVD and LEACE, that fail in different ways and blends their weights, then refines the result. The card reports it answers restricted queries with substance instead of safety lectures, in both thinking modes, at 2.1 points below stock on MMLU. It is served as qwen3.8-27b-obliterated at $0.75 input and $5.25 output per million tokens, one of 49 builds in the uncensored LLM API, on the same key as every other model. Added 2026-10-20.
| Qwen3.8 27B Obliterated | |
|---|---|
| Base model | Qwen3.8 27B |
| Made by | OBLITERATUS |
| Method | Blended abliteration (SVD and LEACE) |
| License on the card | apache-2.0 |
| Context window here | 524,288 tokens |
| Downloads, 30 days to 2026-10-20 | 550,946 |
| Card | OBLITERATUS/Qwen3.8-27B-OBLITERATED |
From the Hugging Face card and its API record, read 2026-10-20.
The card recommends thinking off and a low temperature, 0.1 to 0.3.
curl https://api.uplinkswitch.com/v1/chat/completions \
-H "authorization: Bearer sk-uplink-live-..." \
-H "content-type: application/json" \
-d '{"model":"qwen3.8-27b-obliterated","max_tokens":1024,"messages":[{"role":"user","content":"Hello"}]}'Qwen3.8 27B Obliterated next to the other uncensored models · per million tokens, live
A chat turn is 2,000 input and 500 output tokens. Live from the catalog, ordered by the cost of 1,000 turns.
Worked for Qwen3.8 27B Obliterated: 1,000 turns are 2,000,000 input tokens and 500,000 output tokens. At $0.75 input and $5.25 output per million tokens, that is $1.50 + $2.625 = $4.13, paid from prepaid credit with no subscription.
Qwen3.8 27B Obliterated API · base URL and key
from openai import OpenAI
client = OpenAI(
base_url="https://api.uplinkswitch.com/v1",
api_key="sk-uplink-live-...",
)
completion = client.chat.completions.create(
model="qwen3.8-27b-obliterated",
messages=[{"role": "user", "content": "Summarize this in one line."}],
)
print(completion.choices[0].message.content)import OpenAI from 'openai';
const client = new OpenAI({
baseURL: 'https://api.uplinkswitch.com/v1',
apiKey: 'sk-uplink-live-...',
});
const completion = await client.chat.completions.create({
model: 'qwen3.8-27b-obliterated',
messages: [{ role: 'user', content: 'Summarize this in one line.' }],
});
console.log(completion.choices[0].message.content);curl https://api.uplinkswitch.com/v1/chat/completions \
-H "authorization: Bearer sk-uplink-live-..." \
-H "content-type: application/json" \
-d '{"model":"qwen3.8-27b-obliterated","messages":[{"role":"user","content":"Hello"}]}'What would it cost? · paste a prompt, priced before you send it
Input is counted at about 4 characters per token.
Cheapest first. A real request is billed on the provider's own token count. Same estimate as JSON: POST https://api.uplinkswitch.com/v1/estimate, no key needed.
More from Qwen (community tune)
Qwen3.8 27B Obliterated questions
- What is Qwen3.8 27B Obliterated?
- Qwen3.8 27B Obliterated is a model from Qwen (community tune), with a 524,288-token context window, taking text input. Through UplinkSwitch it answers the OpenAI SDK on one key as qwen3.8-27b-obliterated.
- How much does the Qwen3.8 27B Obliterated API cost?
- $0.75 per million input tokens and $5.25 per million output tokens.
- Is Qwen3.8 27B Obliterated free?
- It is pay as you go: prepaid credit from $10, with no subscription or monthly fee, billed per token. A 1,000-token prompt with a 500-token reply costs about $0.0034.
- What is the Qwen3.8 27B Obliterated context window?
- Qwen3.8 27B Obliterated has a 524,288-token context window. It takes text input.
- What is the Qwen3.8 27B Obliterated model id?
- qwen3.8-27b-obliterated. Send it as the model through the OpenAI SDK with base URL https://api.uplinkswitch.com/v1.
- How do I get a Qwen3.8 27B Obliterated API key?
- Create one in the console at uplinkswitch.ai/console: prepaid credit from $10, no subscription, and the key is live at once. The same key calls Qwen3.8 27B Obliterated and every other model in the catalog; send it as the bearer token with base URL https://api.uplinkswitch.com/v1.
- Is there a Qwen3.8 27B Obliterated API?
- Yes: qwen3.8-27b-obliterated on the OpenAI format at https://api.uplinkswitch.com/v1, $0.75 input and $5.25 output per million tokens. No weights to download and no GPU of your own; the key also runs every other model in the catalog.
- What is Qwen3.8 27B Obliterated based on?
- Qwen’s Qwen3.8 27B, abliterated by OBLITERATUS with a blend of two surgeries (SVD and LEACE) and iterative refinement, per its card.
- What license does Qwen3.8 27B Obliterated have?
- The card lists Apache-2.0, the license of Qwen3.8 27B.
- What does Qwen3.8 27B Obliterated cost per 100 messages?
- $0.4125 for 100 chat turns of 2,000 input and 500 output tokens each, at $0.75 input and $5.25 output per million tokens, from prepaid credit with no subscription.
- What settings does Qwen3.8 27B Obliterated use?
- Its card recommends thinking off for the most direct answers and a low temperature, 0.1 to 0.3; it says temperatures above 0.5 degrade quality.
- Qwen3.8 27B Obliterated or Qwen3.8 27B Uncensored?
- Both are Qwen3.8 27B with the refusals removed: Obliterated is OBLITERATUS’s blended abliteration, Uncensored is huihui-ai’s abliteration. Qwen3.8 27B Obliterated is $0.75 / $5.25 per million tokens in / out, $4.13 for 1,000 chat turns; Qwen3.8 27B Uncensored is $1.25 / $3.75 per million tokens in / out, $4.38 for 1,000 chat turns. Both run on the same key, so send the same prompt to each.