Ratings and Reviews 1 Rating

Total
ease
features
design
support

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    999 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    30 Ratings
    Company Website
  • TIMi Reviews & Ratings
    68 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    61,023 Ratings
    Company Website
  • Evertune Reviews & Ratings
    1 Rating
    Company Website
  • 800.com Reviews & Ratings
    2,370 Ratings
    Company Website
  • Superfiliate Reviews & Ratings
    38 Ratings
    Company Website
  • IUX Reviews & Ratings
    930 Ratings
    Company Website
  • TrafficGuard Reviews & Ratings
    89 Ratings
    Company Website

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 MiniMax M1?

The MiniMax‑M1 model, created by MiniMax AI and available under the Apache 2.0 license, marks a remarkable leap forward in hybrid-attention reasoning architecture. It boasts an impressive ability to manage a context window of 1 million tokens and can produce outputs of up to 80,000 tokens, which allows for thorough examination of extended texts. Employing an advanced CISPO algorithm, the MiniMax‑M1 underwent an extensive reinforcement learning training process, utilizing 512 H800 GPUs over a span of about three weeks. This model establishes a new standard in performance across multiple disciplines, such as mathematics, programming, software development, tool utilization, and comprehension of lengthy contexts, frequently equaling or exceeding the capabilities of top-tier models currently available. Furthermore, users have the option to select between two different variants of the model, each featuring a thinking budget of either 40K or 80K tokens, while also finding the model's weights and deployment guidelines accessible on platforms such as GitHub and Hugging Face. Such diverse functionalities render MiniMax‑M1 an invaluable asset for both developers and researchers, enhancing their ability to tackle complex tasks effectively. Ultimately, this innovative model not only elevates the standards of AI-driven text analysis but also encourages further exploration and experimentation in the realm of artificial intelligence.

Media

Media

Integrations Supported

C
C++
Facebook
GitHub
Gray Swan
HTML
JavaScript
LangChain
LlamaIndex
Meta Model API
Muse Image
Odysseus
OpenCode
PowerShell
Ruby
Scala
SiliconFlow
Solidity
Swift
TypeScript

Integrations Supported

C
C++
Facebook
GitHub
Gray Swan
HTML
JavaScript
LangChain
LlamaIndex
Meta Model API
Muse Image
Odysseus
OpenCode
PowerShell
Ruby
Scala
SiliconFlow
Solidity
Swift
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

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

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

meta.ai

Company Facts

Organization Name

MiniMax

Date Founded

2021

Company Location

Singapore

Company Website

www.minimax.io/news/minimaxm1

Popular Alternatives

Grok 4.6 Reviews & Ratings

Grok 4.6

SpaceXAI

Popular Alternatives

MiniMax M3 Reviews & Ratings

MiniMax M3

MiniMax
Claude Opus 5 Reviews & Ratings

Claude Opus 5

Anthropic
Claude Fable 5 Reviews & Ratings

Claude Fable 5

Anthropic
DeepSeek-V3.2 Reviews & Ratings

DeepSeek-V3.2

DeepSeek