Title: NVIDIA Nemotron 3 Nano 4B vs NVIDIA Nemotron 3 Ultra %E2%80%94 LLM EU Canonical: https://llmeu.com/en/compare/nemotron-3-nano-4b-vs-nemotron-3-ultra-550b-a55b/ Markdown mirror: https://llmeu.com/en/compare/nemotron-3-nano-4b-vs-nemotron-3-ultra-550b-a55b.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json # NVIDIA Nemotron 3 Nano 4B vs NVIDIA Nemotron 3 Ultra 550B-A55B Put two to four models side by side on the fields that decide a deployment: context, price, region, license, languages, hosting, and what is verified. Where two models differ, this table shows the difference and stops. LLM EU publishes no winner badge without a documented score for that task, and a missing figure stays missing instead of becoming a zero. ## When to use it ### [NVIDIA Nemotron 3 Nano 4B](/en/models/nemotron-3-nano-4b/) #### Strengths - long context for a 4B model - high published maths scores for its size - runs on a single small accelerator #### Limits - English only, per the model card - vendor licence rather than an OSI one - benchmark figures come from NVIDIA%E2%80%99s own harness #### Tasks [Low cost](/en/tasks/cheap/), [Reasoning](/en/tasks/reasoning/), [Retrieval (RAG)](/en/tasks/rag/), [Summarisation](/en/tasks/summarization/) ### [NVIDIA Nemotron 3 Ultra 550B-A55B](/en/models/nemotron-3-ultra-550b-a55b/) #### Strengths - open weights are published on Hugging Face and can be downloaded without a vendor agreement - the model page lists 6 languages the European Union publishes in, including en, fr, es, it #### Limits - catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint - no evaluation has been run by LLM EU - the openmdw-1.1 (other) licence is a custom agreement whose commercial terms were not established from its published text, so commercial serving is not permitted until a human clears it; the router must not route to it - the published configuration records no context window, so the card carries none - at 560.5B parameters, self-hosting needs a multi-node deployment rather than a single server #### Tasks [Reasoning](/en/tasks/reasoning/), [Coding](/en/tasks/coding/), [Multilingual support](/en/tasks/multilingual-support/) **Tasks:** [Reasoning](/en/tasks/reasoning/) ## Compare models - [Blip2 Opt 2.7B vs NVIDIA Nemotron 3 Nano 4B](/en/compare/blip2-opt-2-7b-vs-nemotron-3-nano-4b/) - [NVIDIA Cosmos Reason2 2B vs NVIDIA Nemotron 3 Nano 4B](/en/compare/cosmos-reason2-2b-vs-nemotron-3-nano-4b/) - [Deepseek Coder 7B Instruct V1.5 vs NVIDIA Nemotron 3 Nano 4B](/en/compare/deepseek-coder-7b-instruct-v1-5-vs-nemotron-3-nano-4b/) - [DeepSeek OCR 2 vs NVIDIA Nemotron 3 Nano 4B](/en/compare/deepseek-ocr-2-vs-nemotron-3-nano-4b/) - [DeepSeek OCR vs NVIDIA Nemotron 3 Nano 4B](/en/compare/deepseek-ocr-vs-nemotron-3-nano-4b/) - [DeepSeek R1 0528 vs NVIDIA Nemotron 3 Ultra 550B-A55B](/en/compare/deepseek-r1-0528-vs-nemotron-3-ultra-550b-a55b/)