Meta AI Models (2026): Every Version and What It’s Best For
Meta AI models combine open-weight Llama with Muse, available through the Meta Model API. Muse Spark models target agentic reasoning, computer use, coding, and multimodal work. Llama models offer long context and deployment control. Find out which model can work best for you.
Try Meta AI Models on Lorka AIMeta AI Models at a Glance
This Meta AI models list compares the main Muse and Llama 4 models by use case, capabilities, context window, availability, and pricing. Use it as a quick Meta AI model comparison before choosing the best Meta AI model for your workflow.
Meta Muse Models
Muse Spark 1.2
🚀Best for long-horizon coding, complex debugging, and advanced developer agents
Co-trained with Muse Code, Muse Spark 1.2 improves on 1.1 for debugging, repository work, refactors, migrations, full-stack development, auto-research, and long-running agents.
Muse Spark 1.1
🧠Best for multimodal agents, computer use, tools, and complex reasoning
Meta’s multimodal agent supports browser automation, computer use, visual-to-code work, research, e-commerce, support, and task orchestration across tools, MCP servers, custom skills, and applications.
Meta AI Coding Agents
Muse Code
🤖Best for terminal-based software engineering with persistent subagents
Muse Code is a terminal coding agent, not a foundation model. Powered by Muse Spark 1.2, it handles repository-wide changes, development, debugging, validation, and long-running projects.
The Llama 4 Family
Llama 4 Maverick
🦙 Best for high-quality multimodal assistants and demanding AI applications
Meta’s higher-capability Llama 4 model delivers strong image understanding and quality for assistants, visual analysis, and content workflows through self-deployment or supported providers.
Llama 4 Scout
🧭 Best for extremely long-context workflows and efficient deployment
Download, fine-tune, distill, and deploy Scout for long documents, knowledge bases, internal assistants, and RAG, with greater infrastructure control, privacy flexibility, and less vendor lock-in.
Llama 4 Behemoth Preview
🏔️ Best for understanding Meta’s future frontier Llama direction
Still in training, Llama 4 Behemoth is Meta’s preview teacher model for distilling Scout and Maverick, not an available production option.
Meta Safety Models
Llama Guard 4
🛡️ Best for safety classification and AI application guardrails
Llama Guard 4 is a multimodal safety classifier, not a chat model. It checks prompts and responses for unsafe text or image content.
How to Choose the Best Meta AI Model for Your Task
Follow this Meta-model comparison to find the best option for your needs, whether you prioritize coding, multimodal reasoning, long context, or deployment control.
- If you need Meta’s strongest public model for advanced coding agents: Choose Muse Spark 1.2.
- If you need a terminal coding agent for large repositories: Select Muse Code.
- If you need multimodal reasoning, tool use, and computer-use workflows: Go with Muse Spark 1.1.
- If you need long-running agent workflows with a 1M-token context window: Work with Muse Spark 1.1.
- If you need a high-quality open-weight multimodal model: Choose Llama 4 Maverick.
- If you need extremely long context and deployment flexibility: Select Llama 4 Scout.
- If you need fine-tuning, self-hosting, or private deployment options: Work with Llama 4 Scout or Llama 4 Maverick.
- If you need safety classification around Llama workflows: Choose Llama Guard 4.
- To use different Meta AI models along with frontend models from Anthropic, OpenAI, Gemini, DeepSeek, or Kimi: Use Lorka to compare outputs in one workspace.
Legacy Meta AI Models and Availability Notes
Meta’s lineup combines newer Muse models and products with openly downloadable Llama models. Availability, pricing, and access methods can vary by platform and region.
- Muse Spark 1.2 is Meta’s newest publicly announced Muse model and the lead option for coding-focused users.
- Muse Spark 1.1 remains relevant for multimodal agents, computer use, external tools, and complex workflows across multiple applications.
- Muse Code is a terminal coding product powered by Muse Spark 1.2, not a separate foundation model.
- Llama 4 Scout and Llama 4 Maverick remain Meta’s primary openly downloadable Llama models.
- Llama 4 Behemoth remains a preview model and should not be recommended for production unless its availability changes.
Before publication, verify Meta Model API access, regional restrictions, current pricing, model specifications, and availability through Lorka.
Combine Muse Spark and Llama models with Opus 4, GPT-5.6, Gemini 3.7 Flash, and more to complete coding, reasoning, image tasks, and more with more efficiency.
Chat With Meta Models NowMeta Model FAQs
As of September 2026, Muse Spark 1.2 is Meta’s latest publicly announced Muse model. You can try the model for complicated tasks such as complex debugging and advanced developer-agent workflows.