Muse Spark 1.3

by Meta

Released 23 days after Muse Glimmer · All Meta releases

Meta Muse Spark 1.3 on the Meta Model API (Standard tier — no training on customer content)

Key info

Input
Output
Features
Context window
1M
Max output
Input price
$1.25 /1M
Output price
$4.25 /1M
Released
  • No training by default
  • no-KYC deposit available

Available routes

Muse Spark 1.3 runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance — full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
MultiNot by defaultNo$1.25$4.25

Data handling per route

Each route hosting Muse Spark 1.3 has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

Meta Multi-region

Zero data retention is not on by default — abuse monitoring. No training on customer data. GLOBAL; wallets; deposit 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
no-KYC deposit
deposit available
Transfer mechanism
wallets

Benchmarks

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

Intelligence Index62.1
Coding Index76.3
Reasoning & knowledge
GPQA Diamond
94%
Humanity's Last Exam
49%
Long-context reasoning
79%
Coding
SciCode
57%

Get started

Call Muse Spark 1.3 through the qynio gateway with one API key. Let your coding agent set it up, or call it directly — qynio 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 qynio for you.

Or call it directly

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

Compare Muse Spark 1.3 with…

Side-by-side on privacy, crypto rails, pricing, and benchmarks.

Other models from Meta

Start building with 700+ models

One API key. Every major provider. Up and running in minutes.

Get startedView Documentation