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 Novita 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 US hosting routes through the Opper gateway.

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

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

Available routes

GLM 5 runs on 3 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
Novita	US		No	$1.00	$3.20	Input price
Z.ai	Multi		No	$1.00	$3.20	$0.20

Live routes and prices as JSON: api.opper.ai/v3/models?q=baidu%3Acn%2Fglm-5

Uptime and availability

One of GLM 5's 3 routes is on the monitoring board, so the figure below is that provider's availability rather than the model's.

100%route uptime, last 30 days

Its other routes aren't measured here yet.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. Set up a fallback chain.

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. 2 further routes are not on the board yet. 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

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

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#139 of 694 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: "baidu:cn/glm-5",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);