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gemma 4 31B it qat q4 0 unquantized

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

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curl 
$ curl https://hostyourai.com/api/v1/chat/completions \
  -H "Authorization: Bearer hyai-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemma-4-31B-it-qat-q4_0-unquantized",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Call it now

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

Serve Model garden vLLM ready
google/gemma-4-31B-it-qat-q4_0-unquantized

text+image->text · google · sovereign EU

Runs on EU infrastructure operated by European companies, from your request to the GPU. See the full chain

[!Note] This model card is for the new versions of the Gemma 4 family optimized with Quantization-Aware Training (QAT), which allows preserving similar quality to bfloat16 while dramatically reducing the memory requirements to load the model. Four versions of the QAT checkpoints...

Router
Router · on request
Dedicated
Dedicated · available
31BParameters
262KContext window
80GBMinimum VRAM
POST /api/v1/chat/completions On request

Specifications

Parameters31B
Context window262,144 tokens
Minimum VRAM80 GB
ArchitectureGemma4ForConditionalGeneration (vLLM)
Licenseapache-2.0
Modalitytext+image->text
ReleasedApril 2026
Publishergoogle ↗

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 hourYour own vLLM instance on European cloud (80 GB VRAM), billed per minute.

Shared EU router, you pay only per token. Dedicated GPU deployments are billed per minute, see pricing.

✓ Verified working on 27-07-2026, responded in 4886 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.

~55.3 / 100 · Estimate

No public benchmark yet: estimated from size and release date.

Range 43.9 to 66.8

Sources: Epoch AI ↗ · LiveBench ↗ · LMArena ↗ · Refreshed daily, last on 05-11-2026

Questions

Frequently asked questions

Can I run gemma 4 31B it qat q4 0 unquantized in the EU?

Yes. HostYourAI runs gemma 4 31B it qat q4 0 unquantized 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 gemma 4 31B it qat q4 0 unquantized 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 gemma 4 31B it qat q4 0 unquantized cost?

gemma 4 31B it qat q4 0 unquantized is available on request: through the shared EU router after a quick chat, or as your own dedicated GPU deployment billed per minute. 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.

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The platform

One platform, four layers

Start with one layer and add the others when the work asks for it. They share one key, one balance and one Activity view.

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Your coding agent on open models in Europe, set up with one command.

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Control

Keys, budgets and guardrails per team, and personal data stopped before any model sees it.

Open

Serve

Shared per token, or running for you alone, from European data centres.

Open

EU compute

Private GPUs in Europe, H100 to B300, sized for response time, generation speed and concurrent users.

Open

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