+
+

Related Products

  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • TIMi
    68 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    366 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Google Cloud Platform
    61,023 Ratings
    Visit Website
  • Admin By Request Endpoint Privilege Management
    97 Ratings
    Visit Website
  • JetBrains Junie
    12 Ratings
    Visit Website
  • Iru
    1,382 Ratings
    Visit Website

About

Meta Model API is a new developer API for building with Muse Spark 1.1, Meta’s multimodal reasoning model built for agentic tasks, coding, tool use, computer use, and multimodal understanding. Now in public preview, it gives developers a way to access Muse Spark 1.1 through an OpenAI-compatible package, making it easier to point existing clients at the API, keep the same code structure, and set the model to muse-spark-1.1. Muse Spark 1.1 is designed for personal agentic tasks that require planning and orchestration across external apps and services, with the ability to generalize to new native tools, MCP servers, and custom skills. As a main agent, it can gather context, make a plan, and delegate execution across parallel subagents; as a subagent, it follows its role, understands available tools, and knows when to escalate back. The model can actively manage a 1 million-token context window, remember actions, retrieve information from much earlier work, and compact context.

About

Muse Glimmer is a 30-billion-parameter open-weights model from Meta Superintelligence Labs, optimized for always-on local agent workflows. Small enough to run on a Mac or PC with a single consumer GPU, it is designed for local agents, function calling, coding, and LLM-as-a-judge evaluation without depending on cloud infrastructure or network access. The model combines long-horizon execution, precise tool calling, multimodal understanding, long-context memory, and instruction following. It can complete end-to-end agentic tasks, sustain multi-step reasoning across extended workflows, recover from failed or unexpected tool calls, and accept interleaved text and images through a dedicated perception encoder for interpreting screenshots, charts, and documents. Muse Glimmer works with OpenClaw and other agentic orchestration patterns, supports controllable reasoning effort, and is trained on data from more than 100 languages.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and anyone needing a multimodal model API for coding agents, tool-using workflows, computer use, and long-context automation

Audience

Developers building private, always-on AI agents that need strong reasoning, tool use, and multimodal capabilities on local hardware

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$1.25 per 1M tokens
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5

Pros & Cons from Real Users

Pros

  • Muse Glimmer is exciting because it brings serious AI capability closer to the device. An open-weight model that can run on a laptop or desktop is a big deal for developers, builders, and AI power users who want more control. I like that it is focused on agentic tasks, not just basic chat. If it can handle reasoning, coding help, workflow automation, and local experimentation well, it could be really useful for private projects and always-on agents. The open-weight angle is the biggest win. Being able to download, modify, and run the model locally makes Muse Glimmer feel much more flexible than a closed API-only model.

Cons

  • I would still want to test it hard before trusting it for serious work. Smaller local models can be impressive, but they still need to prove themselves on coding, tool use, long tasks, and messy real-world prompts. Running locally also means the experience depends on your hardware. Even if it works on consumer devices, performance, speed, and setup may vary a lot.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
United States
developer.meta.com/ai/products/meta-model-api/

Company Information

Meta
Founded: 2004
United States
meta.ai/

Alternatives

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI

Categories

Categories

Integrations

Hermes Agent
Hugging Face
Meta AI
OpenClaw
OpenCode
Claude Code
Codex CLI
Continue
ExecuTorch
LangChain
Llama 4 Behemoth
Llama 4 Scout
LlamaIndex
Muse Code
Muse Spark
Muse Spark 1.1
OpenAI
OpenAI Agents SDK
OpenAI Codex
Unsloth

Integrations

Hermes Agent
Hugging Face
Meta AI
OpenClaw
OpenCode
Claude Code
Codex CLI
Continue
ExecuTorch
LangChain
Llama 4 Behemoth
Llama 4 Scout
LlamaIndex
Muse Code
Muse Spark
Muse Spark 1.1
OpenAI
OpenAI Agents SDK
OpenAI Codex
Unsloth
Claim Meta Model API and update features and information
Claim Meta Model API and update features and information
Claim Muse Glimmer and update features and information
Claim Muse Glimmer and update features and information