# GreenPT | European inference provider profile and prices

[Directories](/directories/) › [European Inference](/eu/) › GreenPT

![GreenPT logo](/logos/greenpt.svg)

Verified

GreenPT is a Netherlands-based provider in the Managed inference category with 11 listed models. 6 of 11 models publish a cached-input rate.

EU-owned EU hosting Managed inference

[Visit website ↗](https://greenpt.com) [API docs ↗](https://api.greenpt.ai/v1)

Overview Models Pricing Infrastructure Access Compliance Benchmarks Performance

## At a glance

Record

Ownership

GreenPT

Headquarters

Netherlands

Hosting region

EU (EU default, US optional)

Founded

Not published

Website

[greenpt.com](https://greenpt.com)

## Summary

Scope

GreenPT is a Netherlands-based provider in the Managed inference category with 11 listed models. 6 of 11 models publish a cached-input rate.

12 models in EU catalogue. Chat plans are energy-budgeted (Wh/week); API billed per token from credits.

[Source: greenpt.com ↗](https://greenpt.com) · Updated Nov 4, 2026

### API access

OpenAI-compatible

### Access

APISubscriptionPrepaid

### KYC

Not published

### Compliance

GDPRISO 27001EU hosted100% renewable energyDPA

## Key models

11 listed

Kimi K3 1M context · per 1M tokens Multimodal €3.3 / €16.5

GLM-5.3 1M context · per 1M tokens Inference €1.1 / €4.4

GLM-5.3 Flash 1M context · per 1M tokens Inference €0.11 / €0.44

DeepSeek V4.1 Flash 1M context · per 1M tokens Multimodal €0.22 / €1.1

DeepSeek V4.1 Flash 1017 1M context · per 1M tokens Multimodal €0.36 / €1.45

MiniMax M3 1M context · per 1M tokens Multimodal €0.44 / €2.2

Green Embedding , context · per 1M tokens Embedding €0.2 / €0

Qwen3 Embedding 8B , context · per 1M tokens Embedding €0.25 / €0

Green Rerank 32K context · per 1M tokens Rerank €0.12 / €0

GreenS , context · per hour Speech €0.23 / €0

GreenS Pro , context · per hour Speech €0.23 / €0

## Pricing

List rates · EUR

Model Type Input price Caching price Output price

Kimi K31M context · per 1M tokens Multimodal €3.3 €0.825 €16.5

GLM-5.31M context · per 1M tokens Inference €1.1 €0.275 €4.4

GLM-5.3 Flash1M context · per 1M tokens Inference €0.11 €0.022 €0.44

DeepSeek V4.1 Flash1M context · per 1M tokens Multimodal €0.22 €0.011 €1.1

DeepSeek V4.1 Flash 10171M context · per 1M tokens Multimodal €0.36 €0.04 €1.45

MiniMax M31M context · per 1M tokens Multimodal €0.44 €0.11 €2.2

Green Embedding, context · per 1M tokens Embedding €0.2 \- €0

Qwen3 Embedding 8B, context · per 1M tokens Embedding €0.25 \- €0

Green Rerank32K context · per 1M tokens Rerank €0.12 \- €0

GreenS, context · per hour Speech €0.23 \- €0

GreenS Pro, context · per hour Speech €0.23 \- €0

List rates. Cached input shown where published; "-" means the provider does not publish a cache rate. Units follow the source rate card.

## Infrastructure

Hosting

Region**EU**

Cities**EU default, US optional**

Provider group**Managed inference**

ZDR**yes**

DPA**Available**

Cached input policy**Prompt cache on by default; cached prefix billed at the cached rate.**

## Access

API & payments

API shape**OpenAI-compatible**

Access**API, Subscription, Prepaid**

KYC**Not published**

Cached input policy**Prompt cache on by default; cached prefix billed at the cached rate.**

## Compliance

Source-backed

DPA**Available**

ZDR**yes**

Retention**ZDR: yes. DPA published.**

Certifications

GDPRISO 27001EU hosted100% renewable energyDPA

## Benchmarks

Coming soon

Coming soon.

## Performance

Coming soon

Latency

### Time to first token

Median and p95 response times for short and long prompts, measured from repeatable probes rather than vendor claims.

Coming soon

Throughput

### Tokens per second

Streaming output rate and request throughput under steady load, with concurrency and context length recorded.

Coming soon

Efficiency

### Cost per workload

Blended cost for a fixed workload, including cache reads and output tokens, so speed and price can be compared together.

Coming soon

Independent performance probes are being added. Vendor-reported numbers are not mixed into this section.

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