Muse Spark 1.3 Contributor

by Meta

Released 23 days after Muse Glimmer · All Meta releases

Muse Spark 1.3 is the latest release in Meta's Muse Spark line, published on September 2, 2026, by Artificial Analysis's count the fourth Muse Spark release in five months and the one Mark Zuckerberg described as Meta's largest step forward yet on coding and agent work. It works across a 1 million token context, accepts text, images, and video, and supports tool use, structured output, and selectable reasoning effort up to a max setting that Meta held back for extra safety testing at launch and has since opened up. The headline change is efficiency in agent loops: in comparisons by Meta's own engineers it finishes coding tasks with roughly a fifth fewer tool calls and a quarter fewer tokens than Muse Spark 1.2, taking fewer turns and writing less when the task does not need it. Independent testing by Artificial Analysis put the xhigh setting at 61 on its Intelligence Index, tied with GPT-5.6 Sol and a few points behind Claude Fable 5.1, with 85% on Terminal-Bench 2.1, 94% on GPQA Diamond, and 79% on the AA-LCR long-context test, a four-point drop from 1.2. Muse Spark 1.3 suits coding agents, long-running tool-driven workflows, and long-form instruction following, and Meta reports stronger adversarial robustness and better calibration on which actions are irreversible.

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Key info

Input
Output
Features
Context window
1M
Max output
Input price
$0.10 /1M$0.0020 cache read
Output price
$0.20 /1M
Released
  • Zero data retention with abuse monitoring
  • GDPR DPA available

Available routes

Muse Spark 1.3 Contributor 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.

ProviderRegionZero data retentionTrainingInputOutputCache read
MultiYes$0.10$0.20$0.0020
MultiNo$1.25$4.25$0.15

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

Content is retained: used for training by default. Trained on customer data by default. GLOBAL; unknown.

Zero data retention
Retained: used for training by default.
Training
Trained on customer data by default.
Logging
Other
Abuse monitoring
On by default, holds flagged content, a person can view samples
Transfer mechanism
unknown

Meta Multi-region

Zero data retention with abuse monitoring: prompts and outputs are kept for abuse monitoring only, for a window the provider does not state, and are not used for training. No training on customer data. GLOBAL; SCCs; DPA available.

Zero data retention
With abuse monitoring, window not stated.
Training
No training on customer data.
Logging
Abuse monitoring
Abuse monitoring
On by default, holds flagged content, a person can view samples
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#16 of 664 LLMs
TierStrong
Output speed248 tok/s
First token26.87s
Intelligence Index48.1
Coding Index75.8
Reasoning & knowledge
GPQA Diamond
94%
Humanity's Last Exam
49%
Long-context reasoning
83%
Coding
SciCode
59%

Get started

Call Muse Spark 1.3 Contributor through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Muse Spark 1.3 Contributor 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

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPPER_API_KEY,
baseURL: "https://api.opper.ai/v3/compat",
});
const completion = await client.chat.completions.create({
model: "meta-contributor/muse-spark-1.3-contributor",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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Meta: Muse Spark 1.3 Contributor - API Pricing & Benchmarks