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Model garden Router · on request Dedicated · available

Qwen3.8 Flash Next 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, TokenSpeed, etc. The quantization method is fine-g...

Start for free ← All models
Qwen/Qwen3.8-Flash-Next-FP8 On request
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
180B
Parameters
262K
Context window
223GB
Minimum VRAM
POST /api/v1/chat/completions On request

Specifications

Parameters 180B
Context window 262,144 tokens
Minimum VRAM 223 GB
Architecture Qwen4ExpForConditionalGeneration (vLLM)
License other
Modality text+image->text
Released August 2026
Publisher Qwen ↗

Pricing

Shared router · per token
On request
Not available on the shared router. Pricing on request as a dedicated GPU deployment.
Prefer per token on the shared router? This model runs always-on as Qwen3.8 Flash Next.
Dedicated GPU · per hour
from €12,89 per hour
Your own vLLM instance on European cloud (223 GB VRAM), billed hourly.

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

Bench index

Bench is our quality index for every model, 0 to 100. It rests on the Epoch AI Capabilities Index (about 40 benchmarks), completed with LiveBench, and is refreshed every morning.

77.2 / 100 · Via LiveBench

Translated from its LiveBench result onto the same scale.

Range 70.9 to 83.5

Sources: Epoch AI ↗ · LiveBench ↗ · LMArena ↗ · Refreshed daily, last on 25-09-2026

LiveBench · 76.2 · Rank 28 of 63
Reasoning 87.4
Coding 72.6
Agentic coding 61.6
Mathematics 85.8
Data analysis 74.2
Language 74.6
Instruction following 77.1
LiveBench · All tasks
Reasoning
theory of mind 80.8
zebra puzzle 98.8
spatial 100.0
logic with navigation 70.0
Coding
code generation 69.0
code completion 76.1
Agentic coding
javascript 68.2
typescript 46.7
python 70.0
Mathematics
AMPS Hard 99.0
integrals with game 59.0
math comp 94.1
olympiad 91.2
Data analysis
consecutive events 75.6
tablejoin 51.0
tablereformat 96.1
Language
connections 90.2
plot unscrambling 55.8
typos 78.0
Instruction following
paraphrase 79.5
simplify 70.3
story generation 81.4
summarize 77.4

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/Qwen3.8-Flash-Next-FP8",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run Qwen3.8 Flash Next FP8 in the EU?

Yes. HostYourAI runs Qwen3.8 Flash Next 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 Qwen3.8 Flash Next 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 Qwen3.8 Flash Next FP8 cost?

Qwen3.8 Flash Next 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 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 →
Qwen3 ASR 1.7B 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.

2B 66K context View model →

Try Qwen3.8 Flash Next FP8 for free

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