VerdictPal · editorial desk · updated 21 Oct 2026VerdictPal

Compare · Two models, head-to-head

Pick two models. See the diff.

Composite scores, benchmark ranks, capability grids, and pricing per million tokens. All sourced from the same data that powers the model atlas.

Tools Models

Muse Wonder vs Muse Spark 1.3

Model A

Model B

MODEL A

Muse Wonder

Meta · Muse Wonder

Composite 0Intel 00 rows0 sources

Meta's 12 Oct 2026 frontier model for long coding and agent work. 1,048,576-token context. Text, image, video, and audio in; text out. Knowledge cutoff is not on the model card.

MODEL B

Muse Spark 1.3

Meta · Muse Spark

Composite 73Intel 736 rows1 sources

Meta's 2 Sep 2026 Muse Spark refresh. Same AA list as 1.2: $1.25 / $4.25 per 1M tokens, 1M context, text / image / video input. Ships in Muse Code and the Meta Model API.

Muse Wonder1stats won

Tied1stats

Muse Spark 1.34stats won

Spec showdown

Capacity, price, freshness.

Muse WondervsMuse Spark 1.3

Muse Spark 1.3 leads on composite score (73 vs 0), with deeper benchmark coverage across more families. Muse Spark 1.3 is significantly cheaper at $1.3/1M input vs $4.0/1M input.

Composite score
Muse Wonder0Muse Spark 1.373Winner on this row
Benchmark mix
Muse Wonder0Muse Spark 1.373Winner on this row
Context window
Muse Wonder1MWinner on this rowMuse Spark 1.31M
Max output
Muse Wonder—Muse Spark 1.3—
Input price / 1M (lower wins)
Muse Wonder$4.0Muse Spark 1.3$1.3Winner on this row
Output speed (AA default API)
Muse Wonder—Muse Spark 1.3190 t/sWinner on this row

Composite score

Benchmark mix

Context window

Max output

—

Input price / 1M (lower wins)

$4.0

$1.3

Output speed (AA default API)

—

190 t/s

Capability grid

What each model can do.

Modalities

Muse WonderMuse Spark 1.3

Text●●

Image●●

Audio●—

Video●●

Code●●

Tool use●●

Reasoning●●

Access

Muse WonderMuse Spark 1.3

API●●

Consumer app●●

Open weights——

Managed cloud——

On-device——

Family profile

Top score per benchmark family.

No shared benchmark families between these two models.

Benchmark ranks

Every shared benchmark, side by side.

No shared benchmarks found between these two models.

Dossier facts

Dates, sources, fineprint.

Muse WonderMuse Spark 1.3

ProviderMetaMeta

FamilyMuse WonderMuse Spark

Release date2026-10-122026-09-02

Knowledge cutoffunpublishedunpublished

Context window1M1M

Max output——

Input price /1M$4.0$1.3

Output price /1M$20$4.3

Statusflagshipflagship

Composite score073

Intelligence score073

Intel sourcenonecomposite

Benchmark rows06

Source count01

Freshnessstalefresh

Pricing checked2026-10-212026-09-05

Ecosystem

Which tools wrap each model.

Muse Wonder

Not listed in any tool yet.

Muse Spark 1.3

Not listed in any tool yet.

Verdict

Which model to actually pick.

Muse Spark 1.3 leads on composite score (73 vs 0), with deeper benchmark coverage across more families. Muse Spark 1.3 is significantly cheaper at $1.3/1M input vs $4.0/1M input.

Open Muse Wonder's dossier Open Muse Spark 1.3's dossier

Questions this comparison answers

Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.

Should you use Muse Wonder or Muse Spark 1.3?

Muse Spark 1.3 leads on composite score (73 vs 0), with deeper benchmark coverage across more families. Muse Spark 1.3 is significantly cheaper at $1.3/1M input vs $4.0/1M input.

Is Muse Wonder or Muse Spark 1.3 cheaper?

Muse Wonder: $4.0 / $20. Muse Spark 1.3: $1.3 / $4.3.

How do the Muse Wonder and Muse Spark 1.3 context windows compare?

Muse Wonder: 1M. Muse Spark 1.3: 1M.