Qwen3.8-27B API
Hosted inference for Qwen3.8-27B, served from EU hardware in NVFP4 on Blackwell. OpenAI-compatible endpoint, streaming, prompt caching, 262,144-token context. Every performance number below is measured on live production traffic — see the status page.
| Input | Output | Cached input |
|---|---|---|
| $0.25 | $2.09 | $0.04 |
Prompt prefixes served from cache bill at the cached-input rate — roughly one tenth of the input price. No subscription, no minimums. Volume pricing for sustained load: artem@llmtech.eu.
from openai import OpenAI
client = OpenAI(
base_url="https://api.llmtech.eu/v1",
api_key="YOUR_KEY", # get one: artem@llmtech.eu
)
r = client.chat.completions.create(
model="unsloth/Qwen3.8-27B-NVFP4",
messages=[{"role": "user", "content": "Hello"}],
stream=True,
)
for chunk in r:
print(chunk.choices[0].delta.content or "", end="")
API keys are issued by hand while we are in early production — email artem@llmtech.eu and you will have one the same day. Self-service is planned.
Zero data retention
Prompts and completions are processed in volatile memory only — never written to disk, logs, analytics or backups, and never used for training. We retain per-request technical metadata only: timestamps, token counts, status codes and billing prices.
GDPR compliance and DPA
LLM Tech operates from the EU (Poland) and processes all data on EU hardware. A signable Data Processing Agreement under Art. 28 GDPR is available on request, including our technical and organisational measures and the full sub-processor list (infrastructure only — no sub-processor has access to request content).
Where does inference run?
All compute is located in the European Union. No data leaves the EU/EEA. TLS 1.2+ end to end.
How do I verify your performance claims?
The status page publishes uptime, TTFT and generation speed measured on live production traffic, refreshed every 5 minutes — including an hourly uptime strip for the last 24 hours.