Meta

Muse Spark 1.3

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It improves long-horizon agent collaboration, instruction following, and coding efficiency relative to Muse Spark 1.2.

meta/muse-spark-1.3

Context

1M

Output

131.1K

Released

2026-09-02

Knowledge cutoff

—

Types

InputTextImageAudioVideoPDF
OutputText

Reasoning

Supported

Tool use

Supported

Structured output

Supported

Attachments

Supported

Open weights

—

Provider pricing

Cloudflare AI Gateway
InTextImageAudioVideoPDF
OutText
Price
$1.25 / $4.25
Context
1M
Status
Stable
CommandCode
InTextImageAudioVideoPDF
OutText
Price
$1.25 / $4.25
Context
1M
Status
Stable
Kilo Gateway
InTextImageVideoPDF
OutText
Price
$1.25 / $4.25
Context
1M
Status
Stable
LLM Gateway
InTextImageAudioVideoPDF
OutText
Price
$1.25 / $4.25
Context
1M
Status
Stable
NanoGPT
InTextImageAudioVideoPDF
OutText
Price
$1.25 / $4.25
Context
1M
Status
Stable
OpenRouter
InTextImageVideoPDF
OutText
Price
$1.25 / $4.25
Context
1M
Status
Stable
Vercel AI Gateway
InTextImagePDF
OutText
Price
$1.25 / $4.25
Context
1M
Status
Stable
AI/ML API
InTextImageAudioVideoPDF
OutText
Price
$1.72 / $5.85
Context
1M
Status
Stable

Benchmarks

  • GDPval-AA

    1754 · Elo

  • JobBench

    64.9 · mean rubric score

  • OSWorld

    66.9 · mean partial score

  • OSWorld

    32 · binary completion rate

  • DeepSearchQA

    90.3 · F1

  • Agentic IF Index

    57.8 · score

  • AutomationBench

    49.6 · pass@1

  • MRCR

    98.5 · mean sequence-match ratio

  • MRCR

    98.1 · mean sequence-match ratio

  • DeepSWE

    75.4 · pass@1

  • SWE-Atlas Codebase QnA

    59.4 · pass@1

  • Terminal-Bench

    88.8 · pass@1

From the same lab