Codestral vs. Nemotron 3.5 Super VL Comparison


Codestral Mistral AI	Nemotron 3.5 Super VL NVIDIA	+	+
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About We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI applications for software developers. Codestral is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash. It also performs well on more specific ones like Swift and Fortran. This broad language base ensures Codestral can assist developers in various coding environments and projects.	About NVIDIA Nemotron 3.5 Super VL is an open, customizable multimodal AI model designed for complex reasoning, autonomous agents, and enterprise workflows. The model uses a 120-billion-parameter mixture-of-experts architecture that activates approximately 12 billion parameters per token to balance computational efficiency with model capabilities. It combines text, image, document, and video understanding with instruction following, coding, and external tool use. Its multimodal capabilities support document analysis, chart interpretation, optical character recognition, video understanding, and automated information extraction. Developers can customize the model through supervised fine-tuning, low-rank adaptation, and reinforcement learning using NVIDIA NeMo. Nemotron 3.5 Super VL supports deployment in local, cloud, and data center environments for applications such as software engineering, financial document processing, cybersecurity analysis, and enterprise automation.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers interested in a large language model for coding	Audience AI developers, machine learning engineers, enterprise AI teams, software engineers, cybersecurity researchers, data scientists, financial technology companies, and organizations building customizable multimodal agents for document intelligence, coding, video analysis, and automated business workflows
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Open source Free Version Supported Free Trial Not Supported	Pricing $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 Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros The agent performance is probably the biggest win. It is strong for coding, web research, document analysis, cybersecurity, and other multi-step tasks where the model has to understand what it is looking at and then actually do something with that information. I also really like the efficiency. NVIDIA says the 120B model only activates 12B parameters per token and can hit more than 600 output tokens per second in some agentic evaluations, which makes it much more practical for high-volume workflows than the headline model size suggests. The openness is another advantage. NVIDIA is releasing model checkpoints, datasets, training recipes, and customization tools through NeMo, so teams can adapt it to their own documents, policies, tools, and specialized workflows instead of depending entirely on a closed API. Cons This is not the model I would pick if I just wanted the easiest plug-and-play chatbot experience.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Mistral AI Founded: 2023 France mistral.ai/	Company Information NVIDIA Founded: 1993 United States nvidia.com
Alternatives Codestral Mamba Mistral AI	Alternatives GPT-6.1 Terra OpenAI
DeepSeek-Coder-V2 DeepSeek	Gemini 4 Argon Google
DeepSeek-V2 DeepSeek	Claude Sonnet 5.5 Anthropic
Code Llama Meta	Nemotron 3.5 Bolt NVIDIA
CodeQwen Alibaba View All	Nemotron 3 Super NVIDIA View All
Categories AI Code Generators Supported AI Code Refactoring Supported AI Coding Assistants Supported AI Coding Models Supported AI Models Supported Foundation Models Supported Large Language Models Supported Open-Weight AI Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported Open-Weight AI Models Supported

Integrations AiAssistWorks Supported CSS Supported CodeNext Supported Deep Infra Supported Diaflow Supported EvalsOne Supported GMTech Supported Groq Supported LM-Kit.NET Supported Mirascope Supported Motific.ai Supported OpenPipe Supported Overseer AI Supported PI Prompts Supported PostgresML Supported Python Supported ReByte Supported Rust Supported Simplismart Supported promptmate.io Supported Show More Integrations View All 102 Integrations	Integrations AiAssistWorks Not Supported CSS Not Supported CodeNext Not Supported Deep Infra Not Supported Diaflow Not Supported EvalsOne Not Supported GMTech Not Supported Groq Not Supported LM-Kit.NET Not Supported Mirascope Not Supported Motific.ai Not Supported OpenPipe Not Supported Overseer AI Not Supported PI Prompts Not Supported PostgresML Not Supported Python Not Supported ReByte Not Supported Rust Not Supported Simplismart Not Supported promptmate.io Not Supported Show More Integrations View All 3 Integrations
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