AI at Meta

85 models across 14 families · Latest: Muse Spark Open (2026-10)

Large-scale open-source AI for social technologies.

CodingRAGAgentsLong contextVisionClassificationJSON / Tool useHighlight
AI at Meta releases · 11 in the last 12 monthsChangelog →

AI at Meta's portfolio covers 83 active models across 14 current families, spanning coding, rag, and agents. Open a model detail page to compare provider routes and sourced benchmarks.

Covers 7 workload areas across 83 active tracked models; last verified 2026-10-27.

Use it for

  • Teams evaluating coding, rag, and agents across this lab's releases
  • Comparing model families before committing to a flagship
  • Migration and pricing follow-ups across 83 tracked models

Do not use it for

  • Choosing a hosting provider without opening a model page for price ladders

Active models

83

Current models from this lab, excluding deprecated ones

Active families

14

Current model families from this lab

Open catalog

73 open

3 open source / 70 open weights

Lowest output price

$0.030 /1M

Cheapest tracked output across active models, per 1M tokens

Latest dated release

2026-10-15

Muse Spark Open

Freshness

2026-10-27

Researched 11d ago

fresh

Information

Founded2013
Menlo Park, California, United States

Release cadence

Dated releases
5
Latest model
Muse Spark Open
Latest date
2026-10-15

Where this lab wins

  • Coding: 21 tracked models with SWE-bench / HumanEval-style scores.
  • RAG: 25 tracked models with ruler / needle retrieval benchmarks.
  • Agentic: 15 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
  • Long-context: 33 tracked models with context-token or InfiniteBench-class signal.

Flagship quality / price signal

Selection source
Best sourced coding Q/$
Coding grade
A
Benchmark / output price
humaneval 68.2 · $0.040/1M

About

AI at Meta develops cutting-edge AI technologies that power social media platforms like Facebook and Instagram. Their work on computer vision, natural language processing, and machine learning enhances user experiences, improves content moderation, and drives innovation. Software engineers and SaaS executives can leverage AI at Meta's open-source tools and research to build more engaging and safe social applications.

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
Muse Spark Open2026-10-151M$1.25$4.25Muse Model LicenseOpen weights
Muse Wonder2026-10-121M$4.00$20.00ProprietaryProprietary
Muse Wonder Full2026-10-121M--ProprietaryProprietary

Model families

Recent releases

  1. Muse Spark Open- 2026-10-15
  2. Muse Wonder- 2026-10-12
  3. Muse Wonder Full- 2026-10-12
  4. MetaEncoder- 2026-10-08
  5. Muse Spark 1.3- 2026-09-02

Top comparisons

Explore related pages

Last reviewed: 2026-10-27. Data sourced from public lab announcements and provider documentation.