Skip to content
ModelCap

Muse Spark 1.3

Current board #4NewAPI only7d #11 → #4

Meta·meta/muse-spark-1.3

Muse Spark 1.3 is ModelCap current-board rank #4 with Index 81.7 (Measured), from the ModelCap Index as of 3 Sept 2026, 02:09 UTC.

Muse Spark 1.3 listed OpenRouter input price is $1.25 per 1M tokens and listed output price is $4.25 per 1M tokens, from OpenRouter listed prices as of 3 Sept 2026, 02:09 UTC.

Muse Spark 1.3 has a published context limit of 1M tokens in the ModelCap catalogue as of 3 Sept 2026, 02:09 UTC.

Muse Spark 1.3 has 1 published OpenRouter serving endpoint, from OpenRouter as of 3 Sept 2026, 02:09 UTC.

Muse Spark 1.3 weight access is api only, from ModelCap classification of published repository metadata as of 3 Sept 2026, 02:09 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
81.7#4
Measured · 20% support · score interval 81.7–98.5
Evidence as of 2 Sept 2026, 20:11 UTC
Market Gravity
29.6Increased by 0.8
Secondary market signal
Input
$1.25
per 1M tokens
Output
$4.25
per 1M tokens
Context
1M
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Meta$1.25$4.251M100.0%

Other versions (2)

ModelCap Index · Current board

Methodology
81.7
Measured · 1 public benchmark observation across 1 board
Current board
#4
Public rank basis
Measured (measured)
Index support
20.0% · limited
Index interval
81.7–98.5
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
2 Sept 2026, 20:11 UTC
Identity binding
Exact catalogue product · meta/meta/muse-spark-1.3 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
1
Qualified Index evidence point
90.1
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
90.1
Evidence status
provisional · 50% mass
General preference
90.1
Coding
Agents & tools
Reasoning
Evidence breadth
80%
Evidence coverage
20%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
15.4
Liquidity (providers × uptime)
34.5
Open reach (HF downloads)
Surface (context / tools / modalities)
100.0
Freshness
99.9
  • · OpenRouter popularity #128
  • · 1 live provider
  • · Catalogue: context 1048576, reasoning, tools, modalities Text/Image/Video/File/Audio
  • · First seen 2026-09-02

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
37.6
limited · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
37.9

Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
29.6
OpenRouter weekly popularity
#128 of 310

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
15.4

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
34.5

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
99.9

Time since first public availability, on a six-month half-life.

Specification

Context window
1M tokens
Max output
944K tokens
Inputs
Text, Image, Video, File, Audio
Outputs
Text
Tokenizer
Other
Cached input tokens
$0.15 / 1M
First seen on OpenRouter
2 Sept 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Supported: Moderated

Compare Muse Spark 1.3 with

Pick any model

Benchmark leaderboards featuring Muse Spark 1.3

All leaderboards
Public benchmark boards on which Muse Spark 1.3 has a published result
LeaderboardScoreSource rankConfigurationPublished
Artificial Analysis Intelligence IndexArtificial Analysis62.1#6 of 623intelligence-index2 Sept 2026

Alternatives to Muse Spark 1.3, by the numbers

Ranked neighbours

Models within 3 places of #4 on the ModelCap Index.

Other ranked Meta models

The same publisher's other current models with a public Index position.

Muse Spark 1.3: common questions

How does Muse Spark 1.3 rank among AI models?

Muse Spark 1.3 holds ModelCap Index position #4 of 225 ranked language models as of 3 September 2026, with an Index score of 81.7 (interval 81.7–98.5); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Muse Spark 1.3 cost per 1M tokens?

Muse Spark 1.3 is listed at $1.25 per 1M input tokens and $4.25 per 1M output tokens as of 3 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh.

What is the context window of Muse Spark 1.3?

Muse Spark 1.3 has a published context window of 1M tokens (1,048,576) and a maximum output of 944K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Muse Spark 1.3 open-weight?

API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.

Which API providers serve Muse Spark 1.3?

One provider serves Muse Spark 1.3 through OpenRouter as of 3 September 2026: Meta. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Muse Spark 1.3 been evaluated on?

Muse Spark 1.3 has published results on 1 public board tracked by ModelCap as of 3 September 2026: AA Intelligence Index 62.1 (#6 of 623). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Muse Spark 1.3 compare with Claude Opus 5?

Muse Spark 1.3 ranks #4 (Index 81.7) and Claude Opus 5 ranks #3 (Index 83.6) on the ModelCap Index as of 3 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Muse Spark 1.3 released?

Muse Spark 1.3 first appeared in the catalogue on 2 Sept 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.