Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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

Write a Review

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars

Alternatives to Consider

  • LTX Reviews & Ratings
    4.4 out of 5 stars 182 Ratings
    Company Website for LTX
  • Gemini platform Reviews & Ratings
    4.3 out of 5 stars 1,178 Ratings
    Company Website for Gemini platform
  • FinOpsly Reviews & Ratings
    4.7 out of 5 stars 3 Ratings
    Company Website for FinOpsly
  • Runpod Reviews & Ratings
    4.2 out of 5 stars 230 Ratings
    Company Website for Runpod
  • SearchUnify Reviews & Ratings
    4.5 out of 5 stars 150 Ratings
    Company Website for SearchUnify
  • IONOS Cloud GPU Servers Reviews & Ratings
    4.6 out of 5 stars 45,816 Ratings
    Company Website for IONOS Cloud GPU Servers
  • Crelate Reviews & Ratings
    4.5 out of 5 stars 699 Ratings
    Company Website for Crelate
  • Creatio Reviews & Ratings
    4.6 out of 5 stars 589 Ratings
    Company Website for Creatio
  • Hyperproof Reviews & Ratings
    4.6 out of 5 stars 354 Ratings
    Company Website for Hyperproof
  • net2phone Reviews & Ratings
    4.4 out of 5 stars 197 Ratings
    Company Website for net2phone

What is Nemotron 3.5 Lightning?

NVIDIA's Nemotron 3.5 Lightning represents an advanced mixture-of-experts model that features an impressive 30 billion parameters, with 3 billion of these actively engaged, and is specifically designed to deliver efficient, high-throughput performance for AI agents that operate continuously over extended periods. This model is crafted for the execution aspects of agentic systems, skillfully handling common tasks such as invoking tools, verifying outputs, carrying out routine commands, and assigning responsibilities to subagents, while larger reasoning models focus on strategic planning and orchestration. By utilizing a mixture-of-experts framework, it selectively engages a limited number of parameters for each input token, effectively combining the vast potential of a larger model with substantially decreased computational requirements. The training process is fine-tuned for popular agent harnesses, significantly improving inference speed through methods like speculative decoding, multi-token prediction, DFlash, and DSpark, which enhance its adaptability to various operational contexts. Moreover, it supports BF16 and NVFP4 checkpoints, ensuring deployment flexibility across platforms ranging from local systems such as DGX Spark and GeForce RTX hardware to large-scale data center environments. This innovative design not only amplifies AI capabilities but also positions Nemotron 3.5 Lightning as a pivotal resource for the evolution of intelligent systems, paving the way for future advancements in the field.

What is Muse Wonder?

Muse Wonder is a frontier artificial intelligence model developed by Meta for advanced reasoning, autonomous agent workflows, personal assistance, and professional applications. Released in October 2026, the model belongs to the Muse Wonder family alongside Muse Wonder Full, a larger variant designed for computationally demanding tasks. The model incorporates Active Memory, a capability that preserves important contextual information across conversations and retrieves relevant details to support personalized assistance. Its Active Focus functionality enables sustained execution of complex objectives by exploring alternative solutions, adapting to new information, and working through obstacles. Muse Wonder can request clarification when instructions are incomplete and seek user approval before performing consequential actions. The model supports professional tasks involving legal analysis, financial information, health-related questions, research, and business process automation. Its agentic capabilities allow it to interact with connected applications, navigate browser-based workflows, and use external tools to complete multistep assignments. For software development, Muse Wonder can generate code, build applications, analyze existing projects, modify source files, and perform iterative testing and debugging. Meta trained the Muse Wonder series on diverse long-running tasks to improve performance on software engineering projects and unfamiliar problem-solving scenarios. The model has been evaluated using benchmarks such as MemoryBench, FocusBench, AutomationBench-AA, SWE-Marathon, and DeepSWE, with additional safety evaluations addressing privacy protection, adversarial instructions, and misuse prevention. Muse Wonder is available through the Meta Model API and Muse Code, while Muse Wonder Full is available to Muse Code subscribers, with broader integration into Meta's Muse assistant planned.

Media

Media

Integrations Supported

Hermes Agent
OpenClaw

Integrations Supported

Hermes Agent
OpenClaw
.NET
Cline
Codex CLI
Cursor
Dart
Facebook
Facebook Messenger
Java
JavaScript
Kubernetes
Muse Spark
Muse Video
Oracle Cloud Infrastructure
PHP
Python
SQL
TypeScript
Vercel

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$4 per 1M tokens (input)
Input: $4 per 1M tokens
Output: $20 per 1M tokens

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

nvidia.com

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

meta.ai/

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Open-Weight AI Models

Not specified

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

Popular Alternatives

Claude Fable 5.2 Reviews & Ratings

Claude Fable 5.2

Anthropic
5.0 out of 5 stars

Popular Alternatives

Claude Fable 5.2 Reviews & Ratings

Claude Fable 5.2

Anthropic
5.0 out of 5 stars
Gemini 4 Argon Reviews & Ratings

Gemini 4 Argon

Google
5.0 out of 5 stars
GPT-6.1 Terra Reviews & Ratings

GPT-6.1 Terra

OpenAI
5.0 out of 5 stars
Muse Wonder Full Reviews & Ratings

Muse Wonder Full

Meta
5.0 out of 5 stars