BoltAI vs. Nemotron 3.5 Bolt Comparison


BoltAI	Nemotron 3.5 Bolt NVIDIA	+	+
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About Stay ahead by integrating AI into your workflow today. With BoltAI, you can create custom AI assistants, tailoring the AI's behavior to suit specific tasks or roles. BoltAI offers a library of prompts that you can leverage to get the most out of the AI assistance. Effortlessly configure your preferred keyboard shortcuts, enabling seamless integration into your workflow. BoltAI stores keys securely in the Apple Keychain and features automatic redaction of sensitive data, ensuring your privacy and peace of mind. BoltAI operates locally on your device, and no user input or prompts are stored or sent to us. Your OpenAI API key is securely stored in the Apple Keychain, which adheres to industry-standard encryption methods. We also have no analytic tracking within the app. All data is kept locally on your machine, ensuring your privacy and peace of mind.	About NVIDIA Nemotron 3.5 Bolt is a family of open artificial intelligence models designed for local AI agents, autonomous task execution, and conversational applications. The family includes Nemotron 3.5 Bolt 74B-A9B, a 74-billion-parameter mixture-of-experts model with approximately 9 billion active parameters, and Nemotron 3.5 Bolt E4B, a compact model optimized for conversational agents. The 74B-A9B variant uses native 2-bit quantization to operate within approximately 24GB of memory on compatible NVIDIA hardware. Its agentic capabilities support web research, software development, code debugging, and multistep task automation without requiring cloud-based inference. The E4B variant targets local voice assistants, interactive characters, and embedded applications with a 4GB memory footprint. Nemotron 3.5 Bolt supports deployment on NVIDIA RTX systems, DGX Spark, and other compatible hardware, giving developers greater control over inference, application data, and local AI workflows.
Platforms Supported Windows Not Supported Mac Supported Linux Not Supported Cloud Not Supported On-Premises Not 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 Companies looking for a platform to integrate AI into their workflow	Audience AI developers, software engineers, machine learning researchers, game developers, robotics engineers, enterprise IT teams, and organizations building local autonomous agents, coding assistants, conversational AI systems, and privacy-conscious applications on NVIDIA hardware
Support Phone Support Not Supported 24/7 Live Support Not Supported Online 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 $37 per month Free Version Not Supported Free Trial Supported	Pricing Free 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 features 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros What I like most is that I can run a genuinely capable agent model locally without needing datacenter hardware. The 74B-A9B version fits in 24GB of memory, which makes it realistic for high-end RTX systems and DGX Spark. It is also surprisingly useful for real agent work. I can use it for research, coding, debugging, writing, and multi-step tasks while keeping everything on my own machine instead of pushing code or sensitive data to a cloud API. The performance-to-memory tradeoff is probably the biggest win. NVIDIA says Bolt 74B-A9B is the #1 open model in its class on PinchBench and #2 on BrowseComp, so it is not just small enough to run locally — it is actually competitive at agentic tasks. Cons The main downside is that 24GB is still a meaningful hardware requirement, and local inference will not always match the raw capability of the biggest cloud frontier models.
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 BoltAI boltai.com	Company Information NVIDIA Founded: 1993 United States nvidia.com
Alternatives FridayGPT	Alternatives Gemini 4 Carbon Google
MacGPT	GPT-6.1 Terra OpenAI
Matrix Coder Santa Fe Capital Management LLC	GPT-6.1 Sol OpenAI
MindMac	Nemotron 3.5 Super VL NVIDIA
OpenBolt.dev View All	Nemotron 3 Ultra NVIDIA View All
Categories ChatGPT Apps 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 Baseten Not Supported ChatGPT Supported Hugging Face Transformers Not Supported NVIDIA NIM Not Supported OpenAI Supported OpenRouter Not Supported vLLM Not Supported View All 2 Integrations	Integrations Baseten Supported ChatGPT Not Supported Hugging Face Transformers Supported NVIDIA NIM Supported OpenAI Not Supported OpenRouter Supported vLLM Supported View All 5 Integrations
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