When was Quasar 438B released?

Multiverse Computing released Quasar 438B on 2 Sep 2026. It is available through the Opper gateway.

Does Quasar 438B support zero data retention?

Yes. Quasar 438B is available with zero data retention on Multiverse Computing through the Opper gateway.

Where is Quasar 438B hosted?

Quasar 438B runs on both EU and US hosting routes through the Opper gateway. Pick the route that matches your residency requirement.

Is Quasar 438B trained on prompts and outputs?

No. Every hosting route for Quasar 438B is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for Quasar 438B?

Yes. A GDPR Data Processing Agreement is available on at least one route serving Quasar 438B. Contact hello@opper.ai to receive it.

Quasar 438B

by Multiverse Computing

Released 49 days after Carina 60B · Announcement · All Multiverse Computing releases

Quasar 438B is Multiverse Computing's first large model, a 438-billion-parameter reasoning model compressed from Z.ai's GLM family with the company's CompactifAI method. Multiverse positions it for enterprise agents and coding, in English and Spanish. It supports tool calling and reasoning at high and max effort. Multiverse reports a score of 43 on the Artificial Analysis Intelligence Index at launch.

Call Quasar 438B 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

203K

Max output

—

Input price

$0.11 /1M$0.0099 cache read

Output price

$0.33 /1M

Released

2 Sep 2026

Web search

Via Opper

EU residency available
US residency available
Zero data retention on pay-as-you-go
No training by default
GDPR DPA available

Available routes

Quasar 438B runs on 2 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. In the EU it is served by Multiverse Computing (Spain). See every model hosted in the EU.

Provider	Region	Zero data retention	Training	Input	Output	Cache read
Multiverse Computing	EU		No	$0.11	$0.33	$0.0099
Multiverse Computing	US		No	$0.11	$0.33	$0.0099

Live routes and prices as JSON: api.opper.ai/v3/models?q=multiverse%3Aeu%2Fquasar-438b

Data handling per route

Each route hosting Quasar 438B has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Multiverse Computing — Spain🇪🇸

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

Multiverse Computing — 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: Content cached for replay
GDPR DPA: DPA available
Transfer mechanism: SCCs

Get started

Call Quasar 438B through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Quasar 438B 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: "multiverse:eu/quasar-438b",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);