---
last_updated: 2026-09-28
source_url: https://opper.ai/models/eu/glm
title: "GLM with EU Data Residency: Models Hosted in the EU | Opper AI"
description: "10 of the 16 GLM models on Opper run on EU routes, on Inceptron, Melious, Sference, GreenPT, Mistral and 6 more in Sweden, Germany, France, the EU multi-region and Spain. Each route shows where it runs, what the provider keeps and what it costs."
---

# GLM models hosted in the EU

> Where each GLM model runs in the EU, what the provider keeps and what it costs, route by route.

Opper is certified against ISO/IEC 27001:2022; the controls, policies and sub-processors are on https://trust.opper.ai.

10 of 16 models · 27 routes · 11 providers · 4 countries

[Run GLM models on Opper](https://opper.ai/zhipu)

## Every EU route for GLM

One row per model and route, with each model's best route first. Token prices are per million tokens.

| Model | Model id | Runs on | Location | Zero data retention | Training | Context | Input $/1M | Output $/1M |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| [GLM-5.3](https://opper.ai/zhipu/glm-5-3) | `inceptron/zai-org/GLM-5.3` | [Inceptron](https://opper.ai/provider/inceptron) | Sweden | Yes | No | 1M | $0.79 | $2.65 |
| [GLM-5.3](https://opper.ai/zhipu/glm-5-3) | `melious/glm-5.3` | [Melious](https://opper.ai/provider/melious) | Germany | Yes | No | 1M | $1.14 | $4.55 |
| [GLM-5.3](https://opper.ai/zhipu/glm-5-3) | `sference/zai-org/GLM-5.3` | [Sference](https://opper.ai/provider/sference) | EU | Yes | No | 1M | $1.20 | $4.20 |
| [GLM-5.3](https://opper.ai/zhipu/glm-5-3) | `greenpt/glm-5.3` | [GreenPT](https://opper.ai/provider/greenpt) | EU | Yes | No | 1M | $1.25 | $5.01 |
| [GLM-5.3](https://opper.ai/zhipu/glm-5-3) | `mistral/zai-glm-5-3` | [Mistral](https://opper.ai/provider/mistral) | France | Yes | No | 1M | $1.40 | $4.40 |
| [GLM-5.3](https://opper.ai/zhipu/glm-5-3) | `tensorx/z-ai/glm-5.3` | [TensorX](https://opper.ai/provider/tensorx) | EU multi-region | Yes | No | 1M | $1.75 | $4.50 |
| [GLM-5.3-Flash](https://opper.ai/zhipu/glm-5-3-flash) | `greenpt/glm-5.3-flash` | [GreenPT](https://opper.ai/provider/greenpt) | EU | Yes | No | 1M | $0.13 | $0.50 |
| [GLM-5.3-Flash](https://opper.ai/zhipu/glm-5-3-flash) | `inceptron/zai-org/GLM-5.3-Flash` | [Inceptron](https://opper.ai/provider/inceptron) | Sweden | Yes | No | 1M | $0.15 | $0.50 |
| [GLM-5.3-Flash](https://opper.ai/zhipu/glm-5-3-flash) | `sference/zai-org/GLM-5.3-Flash` | [Sference](https://opper.ai/provider/sference) | EU | Yes | No | 1M | $0.20 | $0.60 |
| [GLM-5.3-Flash](https://opper.ai/zhipu/glm-5-3-flash) | `tensorx/z-ai/glm-5.3-flash` | [TensorX](https://opper.ai/provider/tensorx) | EU multi-region | Yes | No | 1M | $0.20 | $0.50 |
| [GLM-5.3-Flash](https://opper.ai/zhipu/glm-5-3-flash) | `berget/zai-org/GLM-5.3-Flash` | [Berget](https://opper.ai/provider/berget) | Sweden | Yes | No | 1M | $0.28 | $0.57 |
| [GLM-5.3-Flash](https://opper.ai/zhipu/glm-5-3-flash) | `nextbit/glm:5.3-flash` | [Nextbit](https://opper.ai/provider/nextbit) | Spain | Retained | No | 1M | $0.15 | $0.50 |
| [GLM-5.2](https://opper.ai/zhipu/glm-5-2) | `inceptron/glm-5.2` | [Inceptron](https://opper.ai/provider/inceptron) | Sweden | Yes | No | 1M | $1.01 | $3.18 |
| [GLM-5.2](https://opper.ai/zhipu/glm-5-2) | `melious/glm-5.2` | [Melious](https://opper.ai/provider/melious) | Germany | Yes | No | 1M | $1.14 | $4.55 |
| [GLM-5.2](https://opper.ai/zhipu/glm-5-2) | `sference/zai-org/GLM-5.2` | [Sference](https://opper.ai/provider/sference) | EU | Yes | No | 1M | $1.20 | $4.20 |
| [GLM-5.2](https://opper.ai/zhipu/glm-5-2) | `greenpt/glm-5.2` | [GreenPT](https://opper.ai/provider/greenpt) | EU | Yes | No | 1M | $1.25 | $5.01 |
| [GLM-5.2](https://opper.ai/zhipu/glm-5-2) | `mistral/zai-glm-5-2` | [Mistral](https://opper.ai/provider/mistral) | France | Yes | No | 1M | $1.40 | $4.40 |
| [GLM-5.2](https://opper.ai/zhipu/glm-5-2) | `evroc/zai-org/GLM-5.2` | [evroc](https://opper.ai/provider/evroc) | Sweden | Yes | No | 524K | $1.42 | $5.69 |
| [GLM-5.2](https://opper.ai/zhipu/glm-5-2) | `tensorx/z-ai/glm-5.2` | [TensorX](https://opper.ai/provider/tensorx) | EU multi-region | Yes | No | 1M | $1.50 | $4.50 |
| [GLM-5.2](https://opper.ai/zhipu/glm-5-2) | `scaleway/glm-5.2` | [Scaleway](https://opper.ai/provider/scaleway) | France | Abuse monitoring | No | 262K | $2.05 | $6.26 |
| [GLM 5](https://opper.ai/zhipu/glm-5) | `tensorx/z-ai/glm-5` | [TensorX](https://opper.ai/provider/tensorx) | EU multi-region | Yes | No | 203K | $1.00 | $3.20 |
| [GLM-5-Turbo](https://opper.ai/zhipu/glm-5-turbo) | `tensorx/z-ai/glm-5-turbo` | [TensorX](https://opper.ai/provider/tensorx) | EU multi-region | Yes | No | 203K | $1.20 | $4.00 |
| [GLM 5.1](https://opper.ai/zhipu/glm-5-1) | `tensorx/z-ai/glm-5.1` | [TensorX](https://opper.ai/provider/tensorx) | EU multi-region | Yes | No | 203K | $1.40 | $4.40 |
| [GLM-5V-Turbo](https://opper.ai/zhipu/glm-5v-turbo) | `tensorx/z-ai/glm-5v-turbo` | [TensorX](https://opper.ai/provider/tensorx) | EU multi-region | Yes | No | 203K | $1.20 | $4.00 |
| [GLM 4.7](https://opper.ai/zhipu/glm-4-7) | `berget/glm-4.7` | [Berget](https://opper.ai/provider/berget) | Sweden | Yes | No | 205K | $0.80 | $2.84 |
| [GLM 4.7](https://opper.ai/zhipu/glm-4-7-fp8) | `berget/zai-org/GLM-4.7-FP8` | [Berget](https://opper.ai/provider/berget) | Sweden | Yes | No | n/a | $0.80 | $2.84 |
| [GLM 4.7 Flash](https://opper.ai/zhipu/glm-4-7-flash) | `greenference/glm-4.7-flash` | [Greenference](https://opper.ai/provider/greenference) | EU multi-region | Yes | No | 203K | $0.03 | $0.20 |

## GLM models not in the EU yet

These GLM models run on Opper outside the EU for now, in the region shown. This page updates within the hour when one gains an EU route.

- [AutoGLM-Phone-9B-Multilingual](https://opper.ai/zhipu/autoglm-phone-9b-multilingual) (US)
- [GLM 4.5 Air](https://opper.ai/zhipu/glm-4-5-air) (US)
- [GLM 4.5V](https://opper.ai/zhipu/glm-4-5v) (US)
- [GLM 4.6](https://opper.ai/zhipu/glm-4-6) (US)
- [GLM 4.6V](https://opper.ai/zhipu/glm-4-6v) (US)
- [GLM-4-32B-0414](https://opper.ai/zhipu/glm-4-32b-0414) (US)

## Call GLM only in the EU

Every route has its own model id. Call that id on any plan and the request is served on that route, in that location. The examples below call GLM-5.3 on Inceptron in Sweden.

### Set it up with your agent

Copy this into a coding agent like Claude Code, Cursor or Codex and it will wire up Opper and call this route.

```text
Use curl to download, read and follow: https://skills.opper.ai Call GLM-5.3 on the EU route inceptron/zai-org/GLM-5.3
```

### Or call it directly

```bash
curl https://api.opper.ai/v3/compat/chat/completions \
  -H "Authorization: Bearer $OPPER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "inceptron/zai-org/GLM-5.3",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'
```

### Lock it in with a rule

A model access rule with Inference location: EU, set for your organization or a project, means no LLM or embedding call can reach a route outside the EU, even by mistake. Rules are part of the Control Plane. [How model access rules work](https://docs.opper.ai/control-plane/rules/model-access)

## Who you contract with

- Company: Opper Technology AB, Sweden, reg. no. 559446-3720
- Certification: [ISO/IEC 27001:2022](https://trust.opper.ai)
- Processor: Opper, for every model. [Sub-processor list](https://opper.ai/sub-processors)
- DPA: One DPA covers the whole catalogue. [Read the DPA](https://opper.ai/data-processing-agreement)

## Other model families in the EU

- [Claude](https://opper.ai/models/eu/claude): 11 models
- [OpenAI](https://opper.ai/models/eu/openai): 25 models
- [Gemini](https://opper.ai/models/eu/gemini): 11 models
- [Mistral](https://opper.ai/models/eu/mistral): 28 models
- [DeepSeek](https://opper.ai/models/eu/deepseek): 7 models
- [Qwen](https://opper.ai/models/eu/qwen): 19 models
- [Kimi](https://opper.ai/models/eu/kimi): 4 models
- [Llama](https://opper.ai/models/eu/llama): 3 models
- [Grok](https://opper.ai/models/eu/grok): 4 models

## Frequently asked questions

### Is GLM available in the EU?

Yes. 10 of the 16 GLM models on Opper run on EU routes, on Inceptron, Melious, Sference, GreenPT, Mistral and 6 more in Sweden, Germany, France, the EU multi-region and Spain. Call the route's model id and the request is served in the EU.

### Which GLM models run in the EU?

GLM-5.3, GLM-5.3-Flash, GLM-5.2, GLM 5, GLM-5-Turbo, GLM 5.1, GLM-5V-Turbo, GLM 4.7, GLM 4.7 and GLM 4.7 Flash. Not in the EU yet: AutoGLM-Phone-9B-Multilingual, GLM 4.5 Air, GLM 4.5V, GLM 4.6, GLM 4.6V and GLM-4-32B-0414.

### Is GLM GDPR (DSGVO) compliant in the EU?

Running GLM on an EU route keeps processing in the EU, which settles where your data goes. The rest depends on your own processing and the service's terms. On Opper, one Data Processing Agreement covers GLM and every other model, Opper is your single sub-processor, and each route lists what the provider keeps and whether it trains on your data. Opper is certified against ISO/IEC 27001:2022; the controls, policies and sub-processors are on https://trust.opper.ai. [Read the DPA](https://opper.ai/data-processing-agreement)

### Does GLM cost more in the EU?

Sometimes. Comparing input prices, of the 9 GLM models that also run elsewhere, 2 cost the same, 2 cost less and 5 cost more on their cheapest EU route. Other hosts in Europe set their own prices, so for open-weight models the difference depends on the host. Every route's own price is in the table on this page.

### How do I make sure GLM calls never leave the EU?

On any plan, call an EU route's model id and the request is served there. To lock it in, set a model access rule with Inference location: EU for your organization or a project, and no LLM or embedding call to GLM can reach a route outside the EU, even by mistake. Rules are part of the Control Plane. [Model access rules](https://docs.opper.ai/control-plane/rules/model-access)

## Read this list from an agent

The same routes as JSON: https://opper.ai/models/eu.json. The whole catalogue is public JSON at https://api.opper.ai/v3/models, and coding agents that use MCP can search it with list_models at https://api.opper.ai/mcp.