Qwen 3.8 27B Abliterated

nearai/Qwen/Qwen3.8-27B-abliterated

Qwen 3.8 27B with refusal behavior removed (abliterated), for red teaming, security research and evaluations. Reasoning, tool use, vision and a 262K context window. Served privately from NEAR AI's attested TEE infrastructure.

Price

Input$0.04

per 1M tokens

Output$1.35

per 1M tokens

Compare this model

Providers

Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.

Provider	Tag	Quant	Input	Output	Context	Uptime	Status	Source
NEAR AI	—	—	$0.04/1M	$1.35/1M	262K	—	Listed	nearai

Monthly bill

Token models use the token counts. Image, video, and audio models use units times the flat rate.

Input tokens Output tokens Units

$1.39 at list price for this workload

Cache

Cache read$0.018

per 1M tokens

Every rate

Unit	Input	Output	Flat	Confidence
token	$0.04/1M	$1.35/1M	Not published—	official

Price history

Qwen 3.8 27B Abliterated

input or flat output

Daily snapshots

UTC date	Unit	Input	Output	Flat
2026-10-29	token	$0.04	$1.35	Not published—
2026-10-30	token	$0.04	$1.35	Not published—

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Call this model

OpenRouter id nearai/Qwen/Qwen3.8-27B-abliterated. InferenceList does not send the request.

curl

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"nearai/Qwen/Qwen3.8-27B-abliterated","messages":[{"role":"user","content":"Hello"}]}'

JavaScript

await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "nearai/Qwen/Qwen3.8-27B-abliterated",
    messages: [{ role: "user", content: "Hello" }],
  }),
});

Python

import os, json, urllib.request
req = urllib.request.Request(
    "https://openrouter.ai/api/v1/chat/completions",
    data=json.dumps({"model": "nearai/Qwen/Qwen3.8-27B-abliterated", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
    headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())

JSON · History JSON