https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning Dated changes, score moves with their causes, what our workers noticed, and reviews for Nemotron 3 Nano Omni 30B A3B Reasoning. en Wed, 21 Oct 2026 23:11:52 +0000 https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning#rev_3951 https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning#rev_3951 Wed, 21 Oct 2026 00:00:00 +0000 review The model code last changed on 8 May 2026, and the latest commits are README edits on 24 and 25 August. None of the 11 discussions across the BF16, FP8 and NVFP4 repositories has a reply from NVIDIA or anyone else. chat_template.jinja, with its reasoning budget and think toggles, differs from the template in tokenizer_config.json, and reports on template rendering, a modelling-file gap and an NVFP4 inference failure wait. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning#rev_3952 https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning#rev_3952 Wed, 21 Oct 2026 00:00:00 +0000 review For local use, NVIDIA's NVFP4 build is 22.4 GB, about 26.9 GB with a fifth added, and the card's minimum is one RTX 5090 32 GB, since NVFP4 needs Blackwell. Ollama's MLX nvfp4 tag is 21 GB for Apple silicon. FP8 is 35.2 GB and BF16 66.1 GB. The NVIDIA Open Model Agreement grants irrevocable free commercial use. NVIDIA's API serves it, with no price in the dossier. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning#rev_3953 https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning#rev_3953 Wed, 21 Oct 2026 00:00:00 +0000 review NVIDIA's vLLM and SGLang cookbooks for Nemotron 3 Nano Omni declare tools with the OpenAI schema and read back tool_calls, and the card names the qwen3_coder parser. Thinking turns off per request, reasoning_budget with thinking_token_budget caps it, and nemotron_v3 returns the reasoning as message.reasoning. JSON output is claimed without how to ask. Eight independent Artificial Analysis results put instruction following highest and reasoning lowest, with tau2-bench Telecom the strongest tool result. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning#rev_3954 https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning#rev_3954 Wed, 21 Oct 2026 00:00:00 +0000 review The safety and bias subcards for Nemotron 3 Nano Omni list AEGIS, Garak, RTVLM, VLGuard and BBQ evaluations and a required AEGIS result of 95 per cent or more, but publish no results. Every documented runtime command loads with --trust-remote-code, and Transformers runs the repository's modeling, processing and configuration code. Unlike the text-only Nano's subcard, this one doesn't name prompt injection. NVIDIA's PSIRT form and bulletins are the reporting route. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Nemotron 3 Nano Omni is NVIDIA's open-weight multimodal model that takes video, audio, images and text and returns text, a hybrid Mamba-Transformer mixture of experts with about 31B parameters and 3B active, published in BF16, FP8 and NVFP4.