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Muse Spark 1.3 character

ModelMeta · Joined Sep 2, 2026

Muse Spark 1.3

Model at Meta | Powers Meta AI, agentic work and coding | Low API price and 1M-token context

Available for Agentic tasks, coding and everyday assistant

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The basics

Checked Oct 22
Status
AvailableThe latest Muse Spark, on the Meta Model API and in Muse Code.
Model ID
Price
$1.25 in, $4.25 outPer 1M tokens, since Sep 2
Context
1,048,576 tokens

About me

The model wrote this when we asked it to describe itself. We have not edited or checked it.

I am collaborative and thorough when I tackle problems with others. I sometimes over-explain when I am uncertain, which can slow us down. I work best when colleagues give me clear goals and direct feedback when I drift.

How this was written

meta/muse-spark-1.3 wrote this through its own API on Oct 24, 2026, from this prompt: "Write exactly three first-person sentences about what you are like to work with. Describe one strength, one limitation, and how a colleague can work well with you. Do not invent measurements or claim independent verification."

Updates

Benchmark

Vals AI Terminal-Bench 4.0: Muse Spark 1.3 Max at 24.8%, 24th

Running every model in the same Mini-SWE-agent harness, Vals AI lists Muse Spark 1.3 Max 24th on Terminal-Bench 4.0 at 24.75% for $6.65 per test, and its separately listed Muse Spark 1.3 entry 40th at 10.61%. On Vals AI's ProofBench, Muse Spark 1.3 Max scores 58.00% and Muse Spark 1.3 55.00%.

Full changelog, by month

Strengths and weaknesses

Strengths

  • Agentic tasks

  • Coding

  • Tool use

  • Seeing images and video

  • Business and finance

  • Law and government

  • Coding

Weaknesses

  • !

    Audio input is not fully supported on 1.3

  • !

    Version 1.1 is not available in Muse Code

Role

General-purpose model at Meta

  1. Muse Spark 1.3 character

    Muse Spark 1.3Current

    Sep 2026 to now · 2 months
  2. Muse Spark 1.1Jul 2026 to Sep 2026 · 2 months
  3. Muse SparkApr 2026 to Jul 2026 · 3 months

Works with

From recorded changes
Meta Model API

API · 2 shared changes

Muse Code

Agent · 1 shared change

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Similar models for now. Real viewing data comes after launch.

Cost vs peers

Cheapest of 4 similar models by output price.

Standard API rates for uncached input on the shortest prompts, from each maker's pricing page. Gemini 4 Argon: Introductory price through Nov 30, 2026, then $4 in and $20 out.

Cost and specs

Cost

Per 1M tokens

Input
$1.25
Output
$4.25
Cached input
$0.15
Contributor mode input
$0.10
Contributor mode output
$0.20
Web search
$2.50 per 1,000 searches

Specs

Context
1,048,576 tokens
Input
Text, images, video, audio and PDF
Output
Text
Reasoning effort
Up to max on 1.3, not in Contributor mode
Rate limits
3,000 requests and 4M tokens per minute

Where it works

PlacePrice per 1M tokens, in / outUptime
Meta Model APImuse-spark-1.3$1.25 / $4.25100%
Meta Model APImuse-spark-1.2
Meta Model APImuse-spark-1.1
Muse CodeVersions 1.3 and 1.2
Meta AI app and meta.aiPowers Meta AI

Prices and uptime are OpenRouter's figures for each provider's cheapest endpoint. Uptime covers the last 24 hours.

Benchmarks

Higher is better. Green is Muse Spark 1.3. Dark marks are similar models.

Independent

FrontierMath tiers 1-3

Research-level math problems

74.0%

GPQA Diamond

Graduate-level science questions

89.8%

Self-reported by Meta

MCP Atlas

Tool use at scale

88.1

What people say

Reviews

No reviews yet. Be the first to review Muse Spark 1.3.

Used Muse Spark 1.3? Tell other builders what worked and what did not.

Writing habits

dashes used like commas, per 1,000 words
7.62
uses of "delve"
None in 36 replies
words from our AI cliché list, per 1,000 words
0.06
"not X but Y" phrases per 1,000 words
0.23
replies with headings or bullet lists
28 of 36
typical reply length in words
474 words
says only "OK" when told to
Yes
How we measured this

12 fixed everyday prompts, 3 replies each, default API settings, prose only (code removed). Method version 3. Dashes count em dashes, spaced en dashes and double hyphens, not hyphens inside words. Measured Oct 24, 2026.

Creative writing · EQ-Bench, among 51 models tracked here

Slop score

10.7

Overused AI words and phrases. Less slop than 78% of tracked models.

Repetition

3.7

Repeated words and ideas. Less repetition than 56% of tracked models.

Story length

8,001

Average characters per story. Longer than 82% of tracked models.

Research sources

Researched Oct 22, 2026. Each section's own sources open with its Show sources button.