Meta AI Models
Overview of Meta's AI models: the newer proprietary Muse family, plus the still widely self-hosted, open-weight Llama 4 generation.
Latest: Muse Spark 1.3
Muse Spark 1.3 (Sep 2026) is Meta Superintelligence Labs' most capable model to date, positioned as competitive with current Anthropic/OpenAI frontier models. It marks Meta's shift from fully open Llama weights toward a proprietary model strategy served via the Meta Model API.
Strengths
- Agentic automation and coding
- Competitive with frontier labs
- Multimodal understanding
Best For
- General-purpose agents
- Coding automation
- Meta AI app integrations
Model Lineup
Muse Spark 1.3
Meta's latest proprietary flagship, via the Meta Model API.
Muse Glimmer
Open-weight (Apache 2.0), ~30B local agent model that runs on a single consumer GPU.
Llama 4 Maverick / Scout
Meta's last fully open-weight generation; still widely self-hosted for on-premise and private deployments.
Practical Guidance
- Use Llama 4 (open weights) when you need full on-prem/self-hosted control; use Muse Spark via the API for the latest capability.
- Muse Glimmer is a good fit for local, always-on coding/function-calling agents on a single GPU.
- Adopt guardrails and evaluation suites for safety and reliability.