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 Mistral Small 4?
Mistral Small 4 is a powerful open-source AI model introduced by Mistral AI to deliver advanced reasoning, multimodal understanding, and coding capabilities in a single system. The model represents the latest evolution in the Mistral Small family and consolidates multiple specialized AI technologies into one unified architecture. It integrates the reasoning capabilities of Magistral, the multimodal functionality of Pixtral, and the coding intelligence of Devstral. This design allows the model to handle tasks ranging from conversational assistance and research analysis to software development and visual data processing. Mistral Small 4 supports both text and image inputs, enabling applications such as document parsing, visual analysis, and interactive AI systems. Its mixture-of-experts architecture includes 128 experts with a small subset activated per token, allowing efficient resource usage while maintaining strong performance. The model also introduces a configurable reasoning effort parameter that allows developers to control the balance between speed and analytical depth. A large 256k context window enables it to process lengthy conversations, documents, and complex reasoning workflows. Performance optimizations significantly reduce latency and increase throughput compared with previous versions of the model. The system is designed for deployment across various environments, including cloud infrastructure, enterprise systems, and research environments. Developers can access the model through platforms such as Hugging Face, Transformers, and optimized inference frameworks. Released under the Apache 2.0 open-source license, Mistral Small 4 allows organizations to customize, fine-tune, and deploy AI solutions tailored to their specific needs. By combining reasoning, multimodal processing, and coding intelligence in one model, Mistral Small 4 simplifies AI integration for modern applications.
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
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
Mistral AI
Date Founded
2023
Company Location
France
Company Website
mistral.ai/
Categories and Features
AI Coding Models
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AI Models
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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 Models
Not specified
AI Reasoning Models
Not specified
Large Language Models
Not specified
Open-Weight AI Models
Not specified
Small Language Models
Not specified