Nemotron 3.5 Super VL
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What is Nemotron 3.5 Super VL?
NVIDIA Nemotron 3.5 Super VL is an open multimodal artificial intelligence model designed to support specialized autonomous agents, enterprise automation, and complex reasoning tasks. Introduced in October 2026, the model combines language processing, visual understanding, software engineering capabilities, and external tool interactions within a unified architecture. It uses a 120-billion-parameter mixture-of-experts design with approximately 12 billion active parameters per token to optimize inference efficiency. The model was distilled from NVIDIA Nemotron 3 Ultra and incorporates additional training focused on coding, multimodal reasoning, and agentic task execution. Its vision-language capabilities support analysis of images, charts, tables, diagrams, multipage documents, and video content. Document intelligence workflows can extract structured information, interpret visual evidence, connect information across pages, and generate summaries or reports. Software engineering features enable the model to analyze repositories, identify programming errors, test code, and recommend modifications across development workflows. Its agentic capabilities support web research, external tool usage, multistep problem-solving, cybersecurity vulnerability analysis, and enterprise process automation. NVIDIA NeMo provides customization tools for supervised fine-tuning, low-rank adaptation, and reinforcement learning using proprietary datasets, organizational policies, and specialized workflows. The model incorporates LiLiCorr speculative decoding, multi-token prediction, context reuse, and NVFP4 quantization to improve inference performance on compatible hardware. Nemotron 3.5 Super VL is distributed with open weights and supports local, cloud, and data center deployment through NVIDIA infrastructure and tools such as NVIDIA NIM.
What is MiniMax M2.7?
MiniMax M2.7 is a cutting-edge AI model engineered to deliver high-performance productivity across coding, search, and professional office workflows. It is trained using reinforcement learning across extensive real-world environments, allowing it to handle complex, multi-step tasks with accuracy and adaptability. The model excels at structured problem-solving, breaking down challenges into logical steps before generating solutions across a wide range of programming languages. It offers high-speed processing with rapid token generation, enabling faster execution of tasks and improved workflow efficiency. Its optimized reasoning reduces unnecessary token usage, improving both performance and cost efficiency compared to earlier models. M2.7 achieves state-of-the-art results in software engineering benchmarks, demonstrating strong capabilities in debugging, development, and incident resolution. It also significantly reduces intervention time during system issues, improving operational reliability. The model is equipped with advanced agentic capabilities, enabling it to collaborate with tools and execute complex workflows with high precision. It supports multi-agent environments and maintains strong adherence to complex task requirements. Additionally, it excels in professional knowledge tasks, including high-quality office document editing and multi-turn interactions. Its ability to handle structured business workflows makes it suitable for enterprise use cases. With its balance of speed, intelligence, and affordability, it stands out among frontier AI models. Overall, MiniMax M2.7 provides a scalable and efficient solution for modern AI-driven productivity and automation.
Integrations Supported
APIFree
Alibaba AI Coding Plan
BLACKBOX AI
Cheaper Inference
Claude Code
Clawd.run
Cline
Factory Droid
Fireworks AI
Hermes Agent
API Availability
Has API
API Availability
Has API
Pricing Information
$0
The model is available at no charge under the OpenMDW-1.1 license. Hosted inference through third-party providers may have separate charges.
Free Version
Pricing Information
Free
Open source
Free Version
Supported Platforms
SaaS
On-Prem
Linux
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Customer Service / Support
Not specified
Customer Service / Support
Not specified
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
MiniMax
Date Founded
2021
Company Location
Singapore
Company Website
www.minimax.io
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
Open-Weight AI Models
Not specified
Categories and Features
AI Coding Models
Not specified
AI Models
Not specified
Large Language Models
Not specified
Open-Weight AI Models
Not specified