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Nemotron 3 Nano Omni (free)OPEN
Nemotron 3 Nano Omni (free) (NVIDIA): live API pricing, context window and the best open-source alternatives, tracked daily by OpenSourceAI.tech.
Prices update automatically — checked hourly against provider list prices.
Benchmarks & performance
Independent benchmark scores for Nemotron 3 Nano Omni (free), measured by Artificial Analysis. Higher is better.
For the same budget, Nemotron 3 Nano Omni (free) delivers 19 times more capability. Open weights also mean you can self-host it and pay nothing per token.
About this model
Nemotron 3 Nano Omni (free) is an open-weight AI model by NVIDIA. You can download and self-host it for free; the prices below are hosted-API list prices, tracked hourly, for when you prefer convenience over self-hosting.
Frequently asked questions
What is Nemotron 3 Nano Omni (free)?
Nemotron 3 Nano Omni (free) is an AI language model from NVIDIA. It is open-weight: you can download it and run it on your own hardware, for free. It scores 14.9 on the Artificial Analysis intelligence index.
Is Nemotron 3 Nano Omni (free) free?
The weights are free and open — you can self-host Nemotron 3 Nano Omni (free) and pay nothing per token. If you prefer a hosted API, list prices are Free per million input tokens and Free per million output tokens.
What is Nemotron 3 Nano Omni (free) good at?
Independent benchmarks from Artificial Analysis give it GPQA 46.9%, Humanity's Last Exam 5.3%, Long Context Reasoning 35.7%, SciCode 27.8%, IFBench 63.2%, τ²-Bench 45.3%, Terminal-Bench 6.7%, Terminal-Bench Hard 8.3%. It is particularly used for code generation.
How fast is Nemotron 3 Nano Omni (free)?
It generates about 322.9 tokens per second, with a median 0.53s delay before the first token. Measured independently by Artificial Analysis.
Can I self-host Nemotron 3 Nano Omni (free)?
Yes. Nemotron 3 Nano Omni (free) has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.
Open-source alternatives
Depending on your workload, an open-weight model that you can self-host may cut costs dramatically or remove per-token pricing entirely. Our comparison pages put this model side by side with the strongest open-source contenders.