📋About Meta
Updated October 23, 2026Meta Platforms (formerly Facebook) is one of the world's largest technology companies, founded by Mark Zuckerberg in 2004. It operates Facebook, Instagram, WhatsApp, Messenger and Threads, which together serve over 3 billion daily active users.
Meta runs two AI tracks rather than having chosen one. Its Llama family is the most widely used open-weight language model line in the world, while its Muse models power Meta AI across every Meta platform: the fast Muse Spark and, since October 2026, the larger Muse Wonder, Meta's first frontier model, priced level with Claude Opus 5.5 in its API and available in full only inside Muse Code. Both were developed by Meta Superintelligence Labs, the organization led by Alexandr Wang and assembled through a 14.3 billion dollar deal for Scale AI. Its open licenses vary by model rather than moving in one direction: a compact local-agent model went out under plain Apache 2.0 terms, with none of the user-count restrictions the Llama Community License imposes. The durable pattern is that the tier decides the license — Meta closes what powers its own products and opens what it wants widely adopted. In October 2026 Meta extended that logic upward: once Muse Wonder sat above it, Meta released open weights for Spark as Muse Spark Open, an 816 billion parameter model under a custom license that requires attribution and a separate agreement for any company over 20 million dollars in revenue that resells it as an API. Its strongest model, Wonder, stays closed. Zuckerberg has argued the case in public, on the grounds that superintelligence concentrated in a few hands is itself the safety risk.
Meta One is the paid subscription brand spanning Instagram, Facebook, WhatsApp and the Meta AI app, while Meta AI itself stays free for casual use. Single-app plans sit beneath individual bundles, with creator and business tiers above them adding a verified badge, higher search ranking and impersonation monitoring. It is Meta's first AI revenue stream beyond advertising and a structural change for a company whose AI strategy had been defined by monetizing through ads. One caveat belongs with it: Meta declines to publish the AI usage limits for any tier, saying they vary by country and system conditions, which makes the central benefit of the paid plans the one thing a buyer cannot compare.
The infrastructure behind this is among the largest capital programs of any company, and Meta is building its own accelerators through the MTIA program, designed with Broadcom and manufactured by TSMC, to supplement rather than replace the GPUs it buys in bulk. It is also moving to monetize the buildout directly through Meta Compute, a cloud business selling access to raw computing power and to Meta's own models, in competition with the established hyperscalers — described internally as renting surplus chips between training runs, like empty airline seats.
Its largest consumer AI bet is Muse, a personal agent that connects to a person's own email, calendar, payments, shopping and smart-home accounts and acts inside them rather than returning drafts, running in a dedicated virtual machine where a separate agent must approve anything that reaches the internet. Distribution through WhatsApp gives it a channel no competing agent has. It is also a demanding bet for this company specifically, since the product requires more personal access than any assistant Meta has shipped. Outside researchers have already found flaws, including shared content anyone could locate through public DNS records, which led Meta to pause sharing in October 2026; it fixed the share addresses and turned sharing back on two days later.
In September 2026 Meta turned that stack toward companies with Meta Enterprise Platform, which Zuckerberg called the next major pillar of its business, starting with the Muse agent, a business agent and a coding tool. It hired Chirantan "CJ" Desai, then chief executive of MongoDB, to run it. Meta gave no price, launch date or named customers, so for now it is a stated direction rather than a product a business can buy.
🛠️Products & Tools (13)
Meta's personal AI agent, launched September 2026 in the US on iOS, Android, muse.ai and inside WhatsApp, with a macOS app from September 17 that acts inside Files, Messages, Calendar, Notes and Mail. 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. Meta has also open-sourced kits for building your own Muse gadgets.
Meta's terminal coding agent for large repositories, co-trained with Muse Spark 1.2, and the only place to use Meta's largest model, Muse Wonder Full. Session-persistent background agents and a replay-exact event log for crash recovery. Public beta, macOS and Linux only.
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.
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.
Meta's first frontier model (October 2026), built for personal and professional agents that remember a user over weeks and keep working through long tasks. Muse Wonder costs $4 per million input tokens and $20 per million output through the Meta Model API, the same as Claude Opus 5.5; the larger Muse Wonder Full is available only inside Muse Code. Meta says both are level with Claude Fable 5.1 and GPT-6 Astra; all figures are Meta's own.
Meta's fast, lower-cost model from Meta Superintelligence Labs, and its flagship until the larger Muse Wonder arrived in October 2026 — multimodal (voice, text, image), powers Meta AI across WhatsApp, Instagram, Facebook, Messenger, and Ray-Ban glasses. Open weights released October 2026 as Muse Spark Open (816 billion parameters, custom license).
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.
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'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.
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'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'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'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.
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