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Model garden Router · on request Dedicated · available

Qwen3.6 27B FP8

Runs as your own dedicated GPU deployment, ready to launch from the wizard. Data stays in Europe.

[!Note] This repository contains FP8-quantized model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. The quantization method is fin...

Start for free ← All models
Qwen/Qwen3.6-27B-FP8 vLLM ready
text+image->text · Qwen · sovereign EU
Runs on EU infrastructure operated by European companies; US marketplace capacity is never part of this chain. Full chain
28B
Parameters
262K
Context window
48GB
Minimum VRAM
POST /api/v1/chat/completions On request

Specifications

Parameters 28B
Context window 262,144 tokens
Minimum VRAM 48 GB
Architecture Qwen3_5ForConditionalGeneration (vLLM)
License apache-2.0
Modality text+image->text
Released April 2026
Publisher Qwen ↗

Pricing

Shared router · per token
On request
Not available on the shared router. Pricing on request as a dedicated GPU deployment.
Dedicated GPU · per hour
from €1,30 per hour
Your own vLLM instance on European cloud (48 GB VRAM), billed hourly.

Shared EU router, pay-per-token, scale-to-zero. Dedicated GPU deployments are billed hourly, see pricing.

✓ Verified working on 21-07-2026, responded in 6395 ms on our EU infrastructure.

Bench index

Bench is our quality index for every model, 0 to 100. It rests on public measurements (Epoch AI with about 40 benchmarks, LiveBench, LMArena and more) and is refreshed every morning. Where nobody measures, it shows an estimate with a range.

67.3 / 100 · Via LiveBench

Translated from its LiveBench result onto the same scale.

Range 61.0 to 73.7

Sources: Epoch AI ↗ · LiveBench ↗ · LMArena ↗ · Refreshed daily, last on 04-11-2026

LiveBench · 64.0 · Rank 68 of 70
Reasoning 70.3
Coding 71.8
Agentic coding 39.3
Mathematics 79.9
Data analysis 70.4
Language 63.3
Instruction following 53.2
LiveBench · All tasks
Reasoning
theory of mind 65.4
zebra puzzle 53.8
spatial 100.0
logic with navigation 62.0
Coding
code generation 71.8
code completion 71.7
Agentic coding
javascript 54.6
typescript 23.3
python 40.0
Mathematics
AMPS Hard 93.0
integrals with game 52.0
math comp 92.2
olympiad 82.3
Data analysis
consecutive events 70.4
tablejoin 42.9
tablereformat 98.0
Language
connections 77.2
plot unscrambling 42.8
typos 70.0
Instruction following
paraphrase 49.4
simplify 50.7
story generation 60.1
summarize 52.6

Call it now

Drop-in replacement for OpenAI: change only the base URL and API key. The Anthropic format (/v1/messages) is supported too.

curl https://hostyourai.com/api/v1/chat/completions \
  -H "Authorization: Bearer hyai-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen/Qwen3.6-27B-FP8",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run Qwen3.6 27B FP8 in the EU?

Yes. HostYourAI runs Qwen3.6 27B FP8 on GPUs in European datacenters via vLLM. Prompts and outputs never leave the EU and there is no US cloud provider in the chain.

Is hosting Qwen3.6 27B FP8 GDPR-compliant?

Yes. All processing happens inside the EU, a Data Processing Agreement (DPA) is available and the subprocessor list is public. Open-source weights also mean: no training on your data.

How much does Qwen3.6 27B FP8 cost?

Qwen3.6 27B FP8 is available on request: through the shared EU router after a quick chat, or as your own dedicated GPU deployment billed per hour. Tell us your use case and we will set it up for you.

Is the API OpenAI-compatible?

Yes. You use the standard OpenAI SDKs with a custom base URL (https://hostyourai.com/api/v1). The Anthropic Messages API is supported as a drop-in as well.

More models from Qwen

Qwen Image 2.1 Turbo

Qwen-Image-2.1-Turbo is an accelerated checkpoint of Qwen-Image-2.1 for text-to-image generation and image editing with 8 denoising steps. It uses the same 7B visual generation architecture and loads directly with QwenImage21Pipeline in Diffusers.

7.1B View model →
Qwen Image 2.1 PE T2I

We are excited to open-source Qwen-Image-2.1, a unified text-to-image generation and image editing model in the Qwen family. With just 7B parameters in its visual generation component (32 Single-Stream DiT layers), Qwen-Image-2.1 balances generation quality, inference efficiency, and versatility.

9.4B 262K context View model →
Qwen Image 2.1

We are excited to open-source Qwen-Image-2.1, a unified text-to-image generation and image editing model in the Qwen family. With just 7B parameters in its visual generation component (32 Single-Stream DiT layers), Qwen-Image-2.1 balances generation quality, inference efficiency, and versatility.

7.1B View model →
Qwen3.8 Flash Next

[!Note] This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, TokenSpeed, etc.

180B 262K context View model →
Qwen3.8 27B

[!Note] This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, TokenSpeed, etc.

28B 262K context View model →
Qwen3 ASR 0.6B hf

The Qwen3-ASR family includes Qwen3-ASR-1.7B and Qwen3-ASR-0.6B, which support language identification and ASR for 52 languages and dialects. Both leverage large-scale speech training data and the strong audio understanding capability of their foundation model, Qwen3-Omni. The 1.7B version achieves state-of-the-art performance among open-source ASR models and is competitive with the strongest proprietary commercial APIs.

0.8B 66K context View model →

Try Qwen3.6 27B FP8 for free

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