Does GLM 5.1 FP8 support zero data retention?

Not self-serve on Pay-as-you-go. Zero data retention for GLM 5.1 FP8 is available on request via Opper Enterprise — contact hello@opper.ai.

Where is GLM 5.1 FP8 hosted?

GLM 5.1 FP8 runs on EU hosting routes through the Opper gateway, with contractually enforced residency on supported providers.

Is GLM 5.1 FP8 trained on prompts and outputs?

No. Every hosting route for GLM 5.1 FP8 is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for GLM 5.1 FP8?

Yes. A GDPR Data Processing Agreement is available on at least one route serving GLM 5.1 FP8. Contact hello@opper.ai to receive it.

GLM 5.1 FP8

by Z.ai

GLM-5.1-FP8 is the FP8-quantized variant of GLM-5.1, built for more efficient deployment while preserving the model's 202,752-token context window and 128K output capacity. The FP8 quantization reduces the memory footprint of the full-precision weights, letting teams self-host on systems with less accelerator memory. This variant retains the core capabilities of GLM-5.1, including agentic reasoning, function calling, thinking modes, structured output, and long-horizon task execution, while optimizing for inference speed and memory use. It is compatible with common inference frameworks including vLLM, SGLang, xLLM, Transformers, and KTransformers. Released under the MIT license alongside the full-precision weights, the FP8 build is aimed at teams running GLM-5.1 at scale who want lower memory cost without giving up the coding and agentic performance that defines the family. Context and output limits match the full-precision model (202K input, 128K output), making it a practical choice for resource-constrained, large-scale deployments.

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Key info

Input

Output

Features

Context window

203K

Max output

203K

Input price

$1.40 /1M

Output price

$4.40 /1M

EU residency available
Zero data retention via Enterprise
No training by default
GDPR DPA available

Available routes

GLM 5.1 FP8 runs on 1 route through the Opper gateway. Compare residency, ZDR, and training posture at a glance — full data-handling detail per route below.

Provider	Region	Zero data retention	Training	Input	Output
Inceptron	EU	Enterprise	No	$1.40	$4.40

Training posture across routes: No training on prompts by default.

Data handling per route

Each route hosting GLM 5.1 FP8 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Inceptron — Sweden🇸🇪

Zero data retention is available via Opper Enterprise contract. No training on customer data. EU; DPA available.

Zero data retention: Available via Opper Enterprise contract.
Training: No training on customer data.
Logging: Abuse monitoring (30-day retention)
Third-party access: None disclosed
GDPR DPA: DPA available
Transfer mechanism: Not applicable — data stays in EU

Get started

Call GLM 5.1 FP8 through the Opper gateway with one API key. Let your coding agent set it up, or call it directly — Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into your coding agent — Claude Code, Cursor, Codex, and more — and it'll wire up Opper for you.

Or call it directly

1import OpenAI from "openai";
2
3const client = new OpenAI({
4  apiKey: process.env.OPPER_API_KEY,
5  baseURL: "https://api.opper.ai/v3/compat",
6});
7
8const completion = await client.chat.completions.create({
9  model: "inceptron/glm-5.1-fp8",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);