Model garden Router · on request Dedicated · available

Phi 3 mini 128k instruct

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

🎉Phi-4: [multimodal-instruct | onnx]; [mini-instruct | onnx]

microsoft/Phi-3-mini-128k-instruct vLLM ready
text->text · microsoft · sovereign EU
Runs on EU infrastructure operated by European companies; US marketplace capacity is never part of this chain. Full chain
3.8B
Parameters
131K
Context window
16GB
Minimum VRAM
POST /api/v1/chat/completions On request

Specifications

Parameters 3.8B
Context window 131,072 tokens
Minimum VRAM 16 GB
Architecture Phi3ForCausalLM (vLLM)
License mit
Modality text->text
Released April 2024
Publisher microsoft ↗

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 €1,08 per hour
Your own vLLM instance on European cloud (16 GB VRAM), billed hourly.

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

✓ Verified working on 30-07-2026, responded in 81 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.

32.5 / 100 · Via LiveBench

Translated from its LiveBench result onto the same scale.

Range 26.1 to 38.8

Sources: Epoch AI ↗ · LiveBench ↗ · LMArena ↗ · Refreshed daily, last on 24-10-2026

LiveBench · 22.4
Reasoning 20.5
Coding 15.0
Mathematics 15.7
Data analysis 34.7
Language 9.2
Instruction following 39.1
LiveBench · All tasks
Reasoning
web of lies v2 20.0
zebra puzzle 5.5
spatial 36.0
Coding
LCB generation 23.1
coding completion 7.0
Mathematics
AMPS Hard 18.0
math comp 12.5
olympiad 16.7
Data analysis
cta 52.0
tablejoin 6.1
tablereformat 46.0
Language
connections 6.2
plot unscrambling 11.3
typos 10.0
Instruction following
paraphrase 40.7
simplify 41.2
story generation 33.4
summarize 41.1

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": "microsoft/Phi-3-mini-128k-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Frequently asked questions

Can I run Phi 3 mini 128k instruct in the EU?

Yes. HostYourAI runs Phi 3 mini 128k instruct 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 Phi 3 mini 128k instruct 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 Phi 3 mini 128k instruct cost?

Phi 3 mini 128k instruct 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 Microsoft

UserRepGen 4B

UserRepGen-4B is a fine-tuned Qwen3.5-4B language model that generates a structured, natural-language user representation from a multi-turn user-assistant conversation. Each representation contains a task description and a behavior description for a user, and is intended to condition a separate LLM-based user simulator.

4.5B 262K context View model →
AesCode 32B

AesCode generates information-rich visual artifacts such as slides, posters, and dashboards as HTML/CSS. The output remains structured, editable, and verifiable, but the task poses a distinct challenge: code models cannot see how layout, hierarchy, and color come together on the canvas.

33B 262K context View model →
AesCode 8B

AesCode generates information-rich visual artifacts such as slides, posters, and dashboards as HTML/CSS. The output remains structured, editable, and verifiable, but the task poses a distinct challenge: code models cannot see how layout, hierarchy, and color come together on the canvas.

8.8B 262K context View model →
Fara1.5 27B

Fara1.5-27B is a multimodal computer use agent (CUA) for web browsers, from Microsoft Research AI Frontiers. It observes the browser through screenshots and acts on the user's behalf by emitting structured tool calls — click, type, scroll, visit URL, web search, and so on — to complete tasks end-to-end.

27B 262K context View model →
Fara1.5 4B

Fara1.5-4B is a multimodal computer use agent (CUA) for web browsers, from Microsoft Research AI Frontiers. It observes the browser through screenshots and acts on the user's behalf by emitting structured tool calls — click, type, scroll, visit URL, web search, and so on — to complete tasks end-to-end.

4.5B 262K context View model →
GELab Zero 4B preview Sico Evolution

GELab Zero 4B preview Sico Evolution is an multimodal language model from Microsoft with 4.4B parameters, hosted on EU GPUs via an OpenAI-compatible API.

4.4B View model →

Try Phi 3 mini 128k instruct for free

Creating an account takes a minute. Test Phi 3 mini 128k instruct straight away in the playground.

Start for free