Models

Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.

Muse Wonder is Meta’s frontier multimodal reasoning model, designed for complex personal and professional agentic workflows. It supports text, image, video, audio, and PDF inputs with text output and features a 1M-token context window for sustained reasoning across long-running tasks. Optimized for autonomous execution and multi-agent orchestration, Muse Wonder can plan, delegate to subagents, coordinate parallel tool use, recover from errors, and operate browsers and applications across desktop and mobile environments. With cross-conversation context retrieval and its Active Focus training approach, it is well suited for complex software engineering, multi-file refactoring, computer use, and end-to-end workflows requiring persistence, adaptability, and minimal supervision.

Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It combines strong multi-step reasoning, reliable tool use, failure recovery, image understanding, and multilingual support across 100+ languages. Designed for long-horizon agentic and coding workflows, Muse Glimmer 30B offers a practical balance of capability and deployment efficiency, making it well suited for local coding assistants, multimodal agents, and production workflows that require sustained autonomous execution.

Muse Spark 1.2 is Meta's multimodal reasoning model designed for complex agentic and software engineering workflows. It supports text, image, video, audio, and PDF inputs with text output, and features a 1M-token context window for sustained reasoning across large, multi-stage tasks. Built for flexible multi-agent execution, Muse Spark 1.2 can serve as either a coordinating main agent or a parallel task-focused subagent. With configurable reasoning effort, structured outputs, parallel function calling, and broad coding-harness compatibility, it is well suited for multi-file refactoring, extended debugging, whole-repository generation, and long-horizon development workflows.

Llama 3.2 1B is a lightweight 1-billion-parameter model built for efficient NLP tasks like summarization, conversation, and multilingual analysis. It runs well in low-resource environments, supports eight core languages (and can be fine-tuned for more), making it a good fit for developers who need capable, multilingual AI without heavy compute costs.

Llama Guard 4 12B by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 4 Scout by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 4 Maverick by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama Guard 3 8b by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.3 70B Instruct by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.2 3B Instruct by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.2 90B Vision Instruct by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.2 11B Vision Instruct by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.1 8B Instruct by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.1 70B Instruct by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.1 405B by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3.1 405B Instruct by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3 70B by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.

Llama 3 8B by Meta. Use it from Apertis SDKs, provider-compatible SDKs, or direct HTTP requests.