Notable Open Modelsfree

Nemotron (NVIDIA)

NVIDIA's open Nemotron 3 family of efficient agentic models

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What Nemotron (NVIDIA) does

  • NVIDIA's open Nemotron 3 family of efficient agentic models
  • Top-ranked open embedding models (Llama-Embed-Nemotron)
  • Open training datasets released alongside the models

Nemotron (NVIDIA) — straight answers

What is Nemotron (NVIDIA)?

Nemotron (NVIDIA) is listed under Notable Open Models, in the AI Models & Local Execution category on Flocci AI Tools. NVIDIA's open Nemotron 3 family of efficient agentic models. It is free, with no paid plan attached, and it lives at huggingface.co.

Is Nemotron (NVIDIA) free?

Nemotron (NVIDIA) is listed as fully free — there is no paid tier attached to it in the catalog. That makes it one of the 396 entries on Flocci AI Tools with no upgrade path built in.

Can I use Nemotron (NVIDIA) in a browser, or is there an app?

Nemotron (NVIDIA) needs to be installed or self-hosted — it doesn't run in a browser tab. It is available on self-hosting, an API and the web.

What can Nemotron (NVIDIA) do?

Nemotron (NVIDIA) does 3 things the catalog singles out: Nvidia's open nemotron 3 family of efficient agentic models; top-ranked open embedding models (llama-embed-nemotron); open training datasets released alongside the models.

What is the best free alternative to Nemotron (NVIDIA)?

DeepSeek Models is the closest free alternative: it sits in the same Notable Open Models sub-category and is free. ERNIE 4.5 Open Models (Baidu), Falcon (TII) and Hunyuan (Tencent) also start free. The full list is on the alternatives page.

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Nemotron (NVIDIA) alternatives

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Llama (Meta)

Notable Open Models
free
  • Meta's flagship open-weight family (Llama 4)
  • Multimodal and long-context variants
  • Run locally or via any host
  • Free, permissive license
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Qwen (Alibaba)

Notable Open Models
free
  • Open Qwen3.x family from phone-sized to multi-trillion-parameter MoE, Apache 2.0
  • Qwen3.6 mid-size models suit agentic coding on one high-memory machine
  • Small Qwen3.5 sizes run on phones and laptops
  • Free weights on Hugging Face and ModelScope
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DeepSeek Models

Notable Open Models
free
  • DeepSeek V4-Pro and V4-Flash open-weight MoE models, MIT-licensed
  • Very long context with reasoning and non-reasoning modes
  • Successors to the V3 and R1 lines
  • Free weights plus free web chat
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Gemma (Google)

Notable Open Models
free
  • Google's lightweight open models (Gemma 4)
  • Runs in as little as 16GB RAM
  • On-device and multimodal variants
  • Free and open
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GPT-OSS (OpenAI)

Notable Open Models
free
  • OpenAI's Apache-2.0 open-weight reasoning models (120B and 20B)
  • Run locally or self-host, with configurable reasoning effort
  • Safeguard variants for policy-based content classification
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Pleias

Notable Open Models
free
  • Fully open-weight, open-dataset small language models (350M-3B) explicitly built for EU AI Act compliance
  • Trained exclusively on the 2-trillion-token open Common Corpus, not scraped/licensed text
  • Purpose-built RAG models (Pleias-RAG-350M/1B) with built-in citation tracking, Apache 2.0 licensed
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Head-to-head comparisons

Nemotron (NVIDIA) vs Llama (Meta)Nemotron (NVIDIA) vs Qwen (Alibaba)Nemotron (NVIDIA) vs DeepSeek ModelsNemotron (NVIDIA) vs Gemma (Google)Nemotron (NVIDIA) vs GPT-OSS (OpenAI)Nemotron (NVIDIA) vs Pleias