When was GLM 5 released?

Z.ai released GLM 5 on 11 Feb 2026. It is available through the Opper gateway.

Does GLM 5 support zero data retention?

Yes. GLM 5 is available with zero data retention on DeepInfra, Geodd, Novita, TensorX through the Opper gateway. Other routes carry zero data retention with abuse monitoring; see each route's window in the data-handling section.

Where is GLM 5 hosted?

GLM 5 runs on both EU and US hosting routes through the Opper gateway. Pick the route that matches your residency requirement.

Is GLM 5 trained on prompts and outputs?

Training behaviour varies by route. See the per-route data-handling section for each provider's training posture.

Is a GDPR DPA available for GLM 5?

Yes. A GDPR Data Processing Agreement is available on at least one route serving GLM 5. Contact hello@opper.ai to receive it.

GLM 5

by Z.ai

Released 23 days after GLM 4.7 Flash · All Z.ai releases

GLM-5 is Zhipu's fifth-generation frontier foundation model released February 2026, with 744 billion total parameters and 40 billion active in a Mixture-of-Experts configuration. Zhipu reports it was trained entirely on Huawei Ascend chips using the MindSpore framework, without NVIDIA hardware, a notable step toward large-model training independent of US semiconductor supply chains. The model reports open-source state-of-the-art results in coding and agentic tasks, with real-world programming capability that Zhipu benchmarks directly against Claude Opus 4.5. Trained on 28.5 trillion tokens, it integrates DeepSeek Sparse Attention to reduce deployment cost while preserving long-context capacity, with a 200K context window. Its reasoning-first design emphasizes thought quality and multi-step problem decomposition, making it strong for software engineering, mathematics, and frontier reasoning. Released under an MIT license, GLM-5 targets developers building state-of-the-art coding agents, research systems, and reasoning-intensive applications. Its roughly two-fold scale increase over GLM-4.5 combined with sparse activation aims to deliver capability gains while keeping inference practical.

Call GLM 5 on Opper with the OpenAI SDK. Sign up without a credit card. Get started

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Key info

Input

Output

Features

Context window

—

Max output

131K

Input price

$0.70 /1M$0.14 cache read

Output price

$2.24 /1M

Released

11 Feb 2026

EU residency available
US residency available
Zero data retention on pay-as-you-go
GDPR DPA available

Available routes

GLM 5 runs on 7 different routes through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below.

Provider	Region	Zero data retention	Training	Input	Output	Cache read
Baidu Qianfan	Multi	—Not established	—	$0.70	$2.24	$0.14
DeepInfra	US		No	$0.60	$2.08	$0.12
DigitalOcean	US		No	$1.00	$3.20	$0.20
Geodd	US		No	$0.60	$1.60	Input price
Novita	US		No	$1.00	$3.20	Input price
TensorX	EU		No	$1.00	$3.20	$0.25
Z.ai	Multi		No	$1.00	$3.20	$0.20

Uptime and availability

GLM 5 runs on 2 independently monitored routes through the Opper gateway. A direct integration leaves you on one of them, the gateway serves whichever is healthy.

100%effective uptime, last 30 days

Averaged across these routes on their own, a single provider reached 100% over the same window.

Daily status through the gateway, which serves each request from whichever route is healthy.

2 monitored providers serve GLM 5.

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. 5 further routes for this model are not on the board yet and are not counted above. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting GLM 5 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Baidu Qianfan — China🇨🇳

Zero data retention posture is not established for this route. Training posture pending review. GLOBAL; unknown.

Zero data retention: Not established.
GDPR DPA: No DPA
Transfer mechanism: unknown

DeepInfra — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; unknown; DPA available.

Zero data retention: Yes. Nothing is logged, held for abuse monitoring or used for training.
Training: No training on customer data.
Logging: None
Abuse monitoring: No classifier
GDPR DPA: DPA available
Transfer mechanism: unknown

DigitalOcean — United States🇺🇸

Zero data retention with abuse monitoring: nothing is logged or used for training; content flagged by abuse monitoring is held for review. No training on customer data. US; dpf sccs; DPA available.

Zero data retention: With abuse monitoring, flagged content held.
Training: No training on customer data.
Logging: None
Abuse monitoring: Always on, holds flagged content, stored in United States
Caching: Content cached for replay
Subprocessor access: No subprocessor reads content
GDPR DPA: DPA available
Transfer mechanism: dpf sccs

Geodd — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; SCCs; DPA available.

Zero data retention: Yes. Nothing is logged, held for abuse monitoring or used for training.
Training: No training on customer data.
Logging: None
Abuse monitoring: No classifier
Caching: Not cached
GDPR DPA: DPA available
Transfer mechanism: SCCs

Novita — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; SCCs; DPA available.

Zero data retention: Yes. Nothing is logged, held for abuse monitoring or used for training.
Training: No training on customer data.
Logging: None
Abuse monitoring: On by default, keeps nothing
GDPR DPA: DPA available
Transfer mechanism: SCCs

TensorX — European Union🇪🇺

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. EU; DPA available.

Zero data retention: Yes. Nothing is logged, held for abuse monitoring or used for training.
Training: No training on customer data.
Logging: None
Abuse monitoring: No classifier
Caching: Content cached for replay
GDPR DPA: DPA available
Transfer mechanism: Not applicable — data stays in EU

Z.ai — Singapore🇸🇬

Zero data retention with abuse monitoring: nothing is logged or used for training; content flagged by abuse monitoring is held for review. No training on customer data. GLOBAL; unknown; DPA available.

Zero data retention: With abuse monitoring, flagged content held.
Training: No training on customer data.
Logging: None
Abuse monitoring: On by default, holds flagged content
Caching: Content cached for replay
Subprocessor access: Subprocessors may read content
GDPR DPA: DPA available
Transfer mechanism: unknown

Benchmarks

Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#114 of 664 LLMs

TierEfficient

Intelligence Index27.9

Reasoning & knowledge

GPQA Diamond

82%

Humanity's Last Exam

29%

Long-context reasoning

76%

Agentic & tool use

Terminal-Bench Hard

43%

τ²-Bench Telecom

98%

Math & instruction following

IFBench

72%

See full leaderboard →Benchmarks via Artificial Analysis · View on AA

Get started

Call GLM 5 through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

GLM 5 is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex 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: "glm-5",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);