Meta

Open Llama with long-context vision for efficient multimodal agents

Muse Wonder is a frontier multimodal reasoning model from Meta for personal and professional agents, long-horizon coding, and computer use. It combines Active Memory, which carries relevant context across conversations, with Active Focus, which keeps it working through blockers toward a goal.

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.

Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1 with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows.

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

Muse Wonder Full is the most capable model in Meta's Muse Wonder series, built for long-running professional agents and ultra-long-horizon software engineering. It shares Muse Wonder's Active Memory and Active Focus capabilities and generally scores higher on Meta's agentic and coding evaluations.

Muse Spark Open is an 816B total / 42B active open-weight multimodal reasoning model from Meta for coding and long-horizon agentic work, with 1M-token context.

Open multimodal Llama for strong reasoning with efficient everyday serving

Multimodal Llama 4-based safety classifier for moderating prompts and responses

Compact open Llama base model for lightweight and on-device use

Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.

Compact instruction-tuned Llama model for multilingual dialogue and on-device assistants

Small open Llama base model for lightweight text generation and self-hosting

Small instruction-tuned Llama model for multilingual dialogue and agentic retrieval

Compact open Llama model for lightweight chat, drafting, and self-hosting

Popular open Llama workhorse for multilingual chat, coding, and self-hosting

Large open multimodal Llama model for image reasoning, document QA, and captioning

Open multimodal Llama model for image understanding, captioning, and visual QA

Open Llama instruction model for multilingual chat, reasoning, and coding

Llama 3.1-based safety classifier for moderating prompts and model responses

86M-parameter (mDeBERTa-base) multilingual classifier that detects prompt injection and jailbreak attempts

22M-parameter (DeBERTa-xsmall) English classifier that detects prompt injection and jailbreak attempts