NVIDIA Nemotron 3 Ultra 550B A55B
Neural Network
Nemotron 3 Ultra is NVIDIA's open model for reasoning and orchestration, available in BotHub via a unified Nemotron API.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 262 144 tokens
- Max answer length
- 182 520 tokens
- Reasoning effort
- none, medium, high
- Capabilities
- reasoning, function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works NVIDIA Nemotron 3 Ultra 550B A55B?
Nemotron 3 Ultra is an open NVIDIA model designed for complex reasoning and orchestration: it breaks down multi-step tasks and manages call sequences rather than just continuing text. It is based on a hybrid Transformer-Mamba architecture with a sparse mixture of experts: out of 550 billion parameters, 55 billion are activated per request. Connecting via BotHub eliminates common difficulties: access from Russia works without VPN or foreign cards, payment is in rubles via Russian cards on a pay-as-you-go basis rather than a subscription, and tokens do not expire. Requests are encrypted with AES-GCM, and chat history is not saved. A unified OpenAI-compatible API allows switching from Nemotron to any of over 250 other models without rewriting the integration, and companies have access to contracts, invoices, electronic document management, and an admin panel with limits. The model is suitable where a multi-step plan is needed: analytical reviews, research tasks, acting as a control unit in agent scenarios, and building multimodal pipelines.Frequently asked questions about NVIDIA Nemotron 3 Ultra 550B A55B
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is an NVIDIA text model with a million-token context. It is suitable for analyzing large documents and codebases, refactoring and debugging, STEM tasks, multi-step reasoning, and agent scenarios with tool calling. It accepts text, documents, and images as input.
The output limit is up to 182,520 tokens per response. This is enough for extensive technical analysis, detailed documentation, translating a large file, or generating large blocks of code entirely, without breaking the task into many sequential requests.
Yes, the reasoning mode is confirmed. The model sequentially breaks down the task before the final answer, which helps with mathematics, logic, code analysis, and parsing conflicting data. For simple requests, this mode is redundant — in that case, you can switch to a lighter model in the same window.
Yes, the model supports function calling and structured JSON output. This allows building agents, connecting external services and databases, and obtaining predictable schemas for parsing. A unified OpenAI-compatible API is available in BotHub, so changing models does not require rewriting the integration.
According to our data, the model accepts text, documents, and images. You can upload a diagram, interface screenshot, chart, or PDF and ask for an analysis. There is no mention of audio or video in our data — for such formats, please select a specialized model on BotHub.
Nemotron is NVIDIA's multilingual line; the model works confidently with Russian-language materials: it analyzes documents, answers questions based on text, and helps with code. It is easy to check the quality on your own task by comparing the answer with another model in the same BotHub window and paying only for the actual tokens used.