Meta logo

Meta

Social media and technology company behind the Llama open-source model family and Meta AI assistant. Llama 4 Maverick (MoE, 400B/17B active, 1M context) is the most-downloaded open-weight frontier model. Reports suggest Meta may shift to closed-source for next-gen "Avocado" model, potentially departing from its open-source tradition.

Share

Listen to this lesson

Free preview · first 0:30
0:00 / 0:30

Unlock audio and more

Audio streaming, downloadable PDFs and certificates come with Plus and Pro.

📋About Meta

Updated September 16, 2026

Meta Platforms (formerly Facebook) is one of the world's largest technology companies, founded by Mark Zuckerberg in 2004. Meta operates Facebook, Instagram, WhatsApp, Messenger, and Threads — platforms that collectively serve over 3 billion daily active users worldwide.

Meta has become one of the most important players in AI through its open-source Llama model family and the Meta AI assistant. Llama models (including Llama 4 Maverick and Llama 4 Scout with a 10 million token context window) are the most widely used open-weight language models in the world. In April 2026, Meta announced Muse Spark — its new proprietary flagship model from Meta Superintelligence Labs, a new organization led by Alexandr Wang (former Scale AI CEO, hired via a $14.3 billion deal). Muse Spark accepts voice, text, and image inputs and powers Meta AI across all Meta platforms. Meta runs both tracks rather than having chosen one. Its most capable model is proprietary, while its open releases have grown *more* permissive: in August 2026 Meta published Muse Glimmer, a 30 billion parameter model for local agents, under a plain Apache 2.0 license with none of the user-count restrictions the Llama Community License carries. Zuckerberg set out the reasoning in a 6,500-word essay, *The Future is for Everyone*, arguing that superintelligence concentrated in a few hands is itself the safety risk, and committing $1 billion to a fund for communities near Meta's data centers. The durable pattern is that the tier decides the license — Meta closes what powers its own products and opens what it wants widely adopted. That pattern came under pressure almost immediately. On September 2, 2026 Meta shipped Muse Spark 1.3 — closed, through the Meta Model API — and Zuckerberg promised open weights for Muse Spark "soon" without naming a version. Meta has not decided whether to publish 1.3's weights and still plans to release only those for 1.2, so the closed-versus-open boundary now runs between checkpoints of the same flagship rather than cleanly between product lines. Until a specific checkpoint lands with a license attached, treat Muse Spark as a closed model that Meta has expressed an intention to open.

Meta One is Meta's paid subscription brand, spanning Instagram, Facebook, WhatsApp, and the Meta AI app. Meta AI remains free for casual users. It launched in the United States in May 2026 and went global on September 15, 2026, by which point Meta reported more than 50 features and 15 million subscriptions and trials. The naming changed with that rollout, and the earlier labels no longer describe the lineup: "Plus" now refers to the single-product plans for one app — Instagram Plus, Facebook Plus and WhatsApp Plus, from $2.99 a month — while the individual bundles are Meta One Core at $7.99 and Meta One Premium at $19.99, both combining those app subscriptions with heavier use of Meta's most compute-intensive AI, including image and video generation through the Muse models. Creator and business plans run from Essential at $14.99 through Advanced at $49.99 and Expert at $149 to Max at $499 a month, adding a verified badge, a bold follow button, higher search ranking and impersonation monitoring. Meta declines to publish the AI usage limits for any tier, saying they vary by country, surface and system conditions, which makes the central benefit of the paid plans the one thing a buyer cannot compare. The shift marks Meta's first revenue stream for AI beyond advertising, a structural change for a company whose AI strategy had previously been defined by the choice to monetize through ads rather than subscriptions.

Meta has also signaled a move into premium AI agents with Hatch, an announced consumer agent that builds software tools and handles tasks like scheduling and email from plain-language prompts. A consumer version of Meta's OpenClaw agent, Hatch is expected to launch in the US around July 2026 with free and premium tiers, and Meta is reportedly weighing a price of up to $200 a month for the top tier — which would make it the company's first standalone paid AI agent, positioned directly against premium subscriptions from OpenAI and Anthropic.

Meta's 2026 AI capital expenditure is projected at $115 to $135 billion — among the largest infrastructure investments by any company. To control that spend, Meta is building its own AI accelerators: the MTIA program’s fourth-generation chip, code-named Iris — designed with Broadcom and manufactured by TSMC — is slated to enter production in 2026 to supplement, not replace, the Nvidia and AMD GPUs Meta buys in bulk, as the company scales toward roughly 14 gigawatts of compute by 2027. The company's FAIR research lab continues producing influential AI research. Llama 4 Behemoth (288 billion active parameters) has been deprioritized in favor of the Muse Spark roadmap.

Meta is also moving to monetize its enormous data-center buildout directly. The company began developing Meta Compute, a cloud infrastructure business that would sell access to raw AI computing power and to Meta's own models — including Muse Spark — putting it in competition with Amazon Web Services, Microsoft Azure, and Google Cloud. Because Meta earns little direct revenue from its models today, renting out excess capacity is a way to recoup its infrastructure spend, echoing similar compute-leasing moves by SpaceX's xAI unit. The effort is led by infrastructure chief Santosh Janardhan alongside Meta Superintelligence Labs' Daniel Gross and company president Dina Powell McCormick, and marks Meta's push to turn a cost center into a business. That buildout is now crossing borders: in July 2026 Meta announced a roughly 10 billion dollar, one-gigawatt data center north of Edmonton, Alberta — its first in Canada and its 33rd worldwide — expected online within three years. Meta has described the strategy as renting surplus graphics chips to outside customers between its own AI training runs, treating idle compute like empty airline seats.

In September 2026 Meta launched Muse, a personal AI agent and its largest consumer AI bet to date. Unlike the Meta AI assistant embedded across its apps, Muse connects to a person's own email, calendar, payments, shopping and smart-home accounts and acts inside them rather than returning drafts, running on Muse Spark inside a dedicated virtual machine where a separate Sentinel agent must approve anything that reaches the internet. It launched in the United States on iOS, Android, muse.ai and inside WhatsApp — the last of which gives Meta a distribution channel no competing agent has. It is also a demanding bet for this company in particular: the product needs more personal access than any assistant Meta has shipped, and it arrived less than two weeks after Meta settled multistate social-media harm claims for 18 billion dollars.

🛠️Products & Tools (12)

Meta MuseAI Agents & Workflow Automation

Meta's personal AI agent, launched September 2026 in the US on iOS, Android, muse.ai and inside WhatsApp. Connects to email, calendar, payments, shopping and smart-home accounts and acts inside them rather than returning drafts. Runs on Muse Spark in a dedicated VM where a separate Sentinel agent must approve anything that reaches the internet.

Muse CodeAI Coding

Meta's terminal coding agent for large repositories, co-trained with Muse Spark 1.2. Session-persistent background agents and a replay-exact event log for crash recovery. Public beta, macOS and Linux only.

PyTorchAI Infrastructure

Dominant open-source ML framework. Originally created by Meta AI Research, now governed by the Linux Foundation. Dynamic computation graphs, GPU-accelerated training, massive ecosystem (Hugging Face, Lightning). BSD license.

SAM 2 (Segment Anything)Computer Vision

Open-source foundation model for zero-shot image and video segmentation. Segment any object with a click, box, or text prompt. Real-time video tracking with occlusion handling. Apache 2.0 license.

Muse SparkFoundation Models & Open Source

Meta's flagship model from Meta Superintelligence Labs — multimodal (voice, text, image), powers Meta AI across WhatsApp, Instagram, Facebook, Messenger, and Ray-Ban glasses

Muse GlimmerFoundation Models & Open Source

Meta's 30 billion parameter open-weight model for always-on local agents, released under a plain Apache 2.0 license. Quantizes to roughly 4-bit and runs inside a 24-gigabyte consumer GPU, with a DFlash speculative-decoding drafter and a bundled perception encoder for reading screens.

Llama 4Foundation Models & Open Source

Meta's open-weight frontier model family. Maverick: MoE 400B/17B active, 1M context, 1,417 Elo. Scout: 10M context. Most-downloaded open-weight models. Community license (free under 1M MAU).

Meta Muse ImageImage Generation

Meta's free AI image generator built into the Meta AI app, Instagram, and WhatsApp — image creation, prompt-based editing, ad and QR-code generation, plus a controversial feature that transforms other people's public photos.

Assured Robot IntelligenceRobotics & Embodied AI

Humanoid-robotics foundation models startup founded by ex-NVIDIA researcher Xiaolong Wang and ex-Fauna Robotics co-founder Lerrel Pinto. Acquired by Meta in May 2026 and folded into Meta Superintelligence Labs to build foundation models for humanoid robot control and self-learning.

Meta Ray-Ban DisplayAI Smart Glasses & Wearables

Meta's first AI glasses with a built-in in-lens display, controlled by the Meta Neural Band EMG wristband. $799, shipping in the US — the category's mainstream leader.

Meta AI GlassesAI Smart Glasses & Wearables

Meta's first self-branded smart glasses — Fury and Adventurer at $299 and a Kylie Jenner Starfire edition at $399. Camera-and-audio glasses (no display) running Meta AI; the mass-market tier below the Meta Ray-Ban Display.

Meta AIUS Foundation Model Chatbots

Meta's AI assistant, embedded in WhatsApp, Instagram, Facebook and Messenger and available at meta.ai. Its flagship is the proprietary Muse Spark rather than the open-weight Llama family. Core use stays free, while Meta One Core and Premium add higher AI usage limits.

Keep track of the companies you’re watching

  • The AI Hub on a phone: a 12-day AI Skill Streak and an expanded Content updates alert listing the saved items that changed.
  • Recommended for you on a phone: nine personalised suggestions labelled Trending in AI news, On your saved list, and Popular.
  • My AI Tools on a phone: saved tools including GitHub Copilot and OpenAI Codex, each with an Updated badge.

Swipe for Recommended for you and My AI Tools

Your AI Hub — sample data.

📰Meta in the News

View all 45 Meta stories in Top AI Stories

Learn more about Meta

Our curriculum includes an in-depth overview of Meta's strategy, models, and competitive positioning.

View Meta Overview Lesson