When was Muse Spark 1.3 Contributor released?

Meta released Muse Spark 1.3 Contributor on 2 Sep 2026. It is available through the Opper gateway.

Does Muse Spark 1.3 Contributor support zero data retention?

Not by default. See the per-route data-handling section for each route's logging stance and retention window.

Where is Muse Spark 1.3 Contributor hosted?

Muse Spark 1.3 Contributor is available on multi-region hosting through the Opper gateway. See the per-route table for details.

Is Muse Spark 1.3 Contributor 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 Muse Spark 1.3 Contributor?

Yes. A GDPR Data Processing Agreement is available on at least one route serving Muse Spark 1.3 Contributor. Contact hello@opper.ai to receive it.

Muse Spark 1.3 Contributor

by Meta

Released 23 days after Muse Glimmer · All Meta releases

Meta Muse Spark 1.3 Contributor tier — submitted content may be used by Meta for product improvement and model training

Open in playground Try in chat Compare

Key info

Input

Output

Features

Context window

Max output

—

Input price

$0.10 /1M

Output price

$0.20 /1M

Released

2 Sep 2026

GDPR DPA available

Available routes

Muse Spark 1.3 Contributor runs on 2 different routes 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
Meta	Multi	Not by default	Yes	$0.10	$0.20
Meta	Multi	Not by default	No	$1.25	$4.25

Data handling per route

Each route hosting Muse Spark 1.3 Contributor has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Meta — Multi-region

Zero data retention is not on by default — provider logging. Trained on customer data by default. GLOBAL; unknown.

Zero data retention: Not by default — provider logging. Derived from the logging and moderation facts.
Training: Trained on customer data by default.
Logging: Other
Moderation: Not established
Caching: Not established
Subprocessor access: Not established
GDPR DPA: Not established
Transfer mechanism: unknown

Meta — Multi-region

Zero data retention is not on by default — abuse monitoring. No training on customer data. GLOBAL; SCCs; DPA available.

Zero data retention: Not by default — abuse monitoring. Derived from the logging and moderation facts.
Training: No training on customer data.
Logging: Abuse monitoring
Moderation: Not established
Caching: Not established
Subprocessor access: Not established
GDPR DPA: DPA available
Transfer mechanism: SCCs

Benchmarks

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

Global rank#12 of 633 LLMs

TierStrong

Output speed328 tok/s

First token22.46s

Intelligence Index48.2

Coding Index75.8

Reasoning & knowledge

GPQA Diamond

94%

Humanity's Last Exam

49%

Long-context reasoning

83%

Coding

SciCode

59%

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

Get started

Call Muse Spark 1.3 Contributor 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 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: "meta-contributor/muse-spark-1.3-contributor",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);