Muse Spark 1.1 Reviews & Ratings

Muse Spark 1.1

5.0 out of 5 stars
Gemma 4 Reviews & Ratings

Gemma 4

5.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    4.3 out of 5 stars 1,178 Ratings
    Company Website for Gemini Enterprise Agent Platform
  • LTX Reviews & Ratings
    4.4 out of 5 stars 182 Ratings
    Company Website for LTX
  • LM-Kit.NET Reviews & Ratings
    4.8 out of 5 stars 29 Ratings
    Company Website for LM-Kit.NET
  • Google AI Studio Reviews & Ratings
    4.8 out of 5 stars 42 Ratings
    Company Website for Google AI Studio
  • TIMi Reviews & Ratings
    4.9 out of 5 stars 68 Ratings
    Company Website for TIMi
  • Google Cloud Platform Reviews & Ratings
    4.5 out of 5 stars 61,092 Ratings
    Company Website for Google Cloud Platform
  • Evertune Reviews & Ratings
    5.0 out of 5 stars 1 Rating
    Company Website for Evertune
  • Admin By Request Endpoint Privilege Management Reviews & Ratings
    4.8 out of 5 stars 109 Ratings
    Company Website for Admin By Request Endpoint Privilege Management
  • 800.com Reviews & Ratings
    4.5 out of 5 stars 2,435 Ratings
    Company Website for 800.com
  • Superfiliate Reviews & Ratings
    5.0 out of 5 stars 50 Ratings
    Company Website for Superfiliate

What is Muse Spark 1.1?

Muse Spark 1.1 is an advanced multimodal reasoning model from Meta Superintelligence Labs built for agentic work, coding, computer use, tool calling, and multimodal understanding. It is a major upgrade from Muse Spark and is designed to push the performance-efficiency frontier for AI systems that need to plan, reason, act, and coordinate across complex workflows. The model can operate across external apps, native tools, MCP servers, custom skills, browsers, scripts, images, videos, PDFs, audio, and developer environments. Muse Spark 1.1 is especially strong in agentic orchestration, where it can gather context, make plans, delegate work to parallel subagents, and manage execution across multiple steps. As a subagent, it can follow a defined role, use available tools appropriately, and escalate back to a main agent when needed. Its 1 million token context window helps it remember past actions, retrieve information from earlier in a project, and compact long sessions while keeping important details available for later work. For computer-use tasks, Muse Spark 1.1 can navigate unfamiliar interfaces, adapt to changing requirements, and choose whether to click through an interface or write scripts when automation is faster. In software engineering, the model can diagnose complex bugs, implement new features, perform large code migrations, build web applications, inspect screenshots, trace issues to code, and validate fixes. Its multimodal capabilities allow it to inspect visual and audio information, generate detailed image and video captions, create visual-to-code artifacts, and combine perception with action in practical workflows. Developers can access Muse Spark 1.1 through Meta’s new Model API public preview, and everyday users can try it in Thinking mode in the Meta AI app.

What is Gemma 4?

Gemma 4 is a modern AI model introduced by Google and built on the Gemini architecture to provide enhanced performance and flexibility for developers and researchers. The model is designed to run efficiently on a single GPU or TPU, which makes powerful AI capabilities more accessible without requiring large-scale infrastructure. Gemma 4 focuses heavily on improving natural language understanding and text generation, enabling it to support a wide range of AI-powered applications. These capabilities allow developers to build systems such as conversational assistants, intelligent search tools, and automated content generation platforms. The architecture behind Gemma 4 enables the model to process language with greater accuracy while maintaining efficient computational requirements. This balance between performance and efficiency allows developers to experiment with advanced AI features without the need for extremely large computing environments. Gemma 4 is designed to be scalable so it can support both small development projects and larger enterprise applications. Researchers can also use the model to explore new approaches to machine learning and language processing. The model’s ability to run on widely available hardware makes it practical for organizations that want to integrate AI into their workflows. By combining strong language capabilities with efficient deployment requirements, Gemma 4 helps broaden access to advanced AI technology. Its design reflects a growing focus on creating models that are both powerful and practical for real-world use. As a result, Gemma 4 supports the continued expansion of AI applications across industries and research fields.

Media

Media

No images available

Integrations Supported

C
C#
C++
CSS
HTML
Hermes Agent
Java
JavaScript
Kotlin
OpenCode
Python
R
Ruby
Rust
SQL
Scala
TypeScript
Meta Model API

Integrations Supported

C
C#
C++
CSS
HTML
Hermes Agent
Java
JavaScript
Kotlin
OpenCode
Python
R
Ruby
Rust
SQL
Scala
TypeScript
MedGemma
Ollama

API Availability

Has API

API Availability

Pricing Information

$1.25 per 1M tokens (input)
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Trial Offered?

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

meta.ai

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

deepmind.google/models/gemma/

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Small Language Models

Not specified

Popular Alternatives

GPT-5.6 Sol Reviews & Ratings

GPT-5.6 Sol

OpenAI
5.0 out of 5 stars

Popular Alternatives

GPT-6.1 Terra Reviews & Ratings

GPT-6.1 Terra

OpenAI
5.0 out of 5 stars
Grok 4.6 Reviews & Ratings

Grok 4.6

SpaceXSI
5.0 out of 5 stars
GPT-6.1 Sol Reviews & Ratings

GPT-6.1 Sol

OpenAI
5.0 out of 5 stars
Claude Opus 5 Reviews & Ratings

Claude Opus 5

Anthropic
5.0 out of 5 stars
GPT-5.6 Sol Reviews & Ratings

GPT-5.6 Sol

OpenAI
5.0 out of 5 stars
Muse Spark 1.2 Reviews & Ratings

Muse Spark 1.2

Meta
5.0 out of 5 stars
Gemma 3 Reviews & Ratings

Gemma 3

Google